SlideShare ist ein Scribd-Unternehmen logo
1 von 5
Downloaden Sie, um offline zu lesen
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1334
User Preference Based Network Selection in Wireless Networks
Vrushali U. Uttarwar1, Dipali M. Patil 2
1,2Department of Computer Engineering, D.Y. Patil College of Engineering, Akurdi, Pune, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - An Wireless networking is becoming an
increasingly important and popular way of providing global
information access to users on the move. One of the main
challenges for seamless mobility is the availability of simple
and robust vertical handoff algorithms, which allow a mobile
node to roam among heterogeneous wireless networks. The
objective is to determine the conditions under which handoff
should be performed. Nowadays mobile handsets are capable
of having different network interfaces. There are multiple
criteria for handoff in NGWN. Handoff decision algorithm
decides the optimal target network by considering a set of
decision parameters including available bandwidth, velocity,
throughput, monetary cost, security and user preference. One
of the technical challenges with this integration and
interfacing of heterogeneous wireless networks is handoff
decision that is used to choose the optimal network depending
upon the type and service requirements demanded by the
user’s application. Heterogeneous wireless network will be
dominant in next generation wireless networks (NGWN).
Increasing user demands and the growing interest of service
providers to offer diverse applications have motivated the
integration of heterogeneous wireless networks which enable
the users to move seamlessly acrossdifferenttypesofnetworks
and to enjoy anytime, anywhere services.
Key Words: Mobility management, Next generation
wireless networks, Media independenthandoff,Vertical
handoff management.
1. INTRODUCTION
There has been tremendous changes taking placeinconcern
to network landscape, recently most of the homogeneous
networks are changed to heterogeneous networks. The
reason behind this is, due to the innovation of multimodal
terminal devices that has the ability to support more than
one type of network with multiple interface capability.
Handoff is the method by which a mobile node can move
logically within the network environment without any
service interruptions and keeps its session active while on
the move Handoff execution is initiated by the selection of
access network only when the strength of signal from the
base station goes down or the base station is unable to
provide service as per the users requirements.
Crowded sceneshave been morefrequentinthereal
world because of increase of population and variety of
human activities. Due to increase in popularity a crowded
scenes analysis is an area of interest to scientists in the
recent times. It brings out massive challenges to public
management, security or safety. In the last decade,
automated scene analysis has already pulled much research
attention in the computer vision community. In case of
crowded scenes, the problems cannotbehandledwell dueto
the large number of individual participation. These
individual not only cause the detection and tracking fail, but
also greatly increases computational complexity.Undersuch
circumstance, crowded scene analysis as a unique topic, is
specifically addressed.
Different types of Next generation wireless
networks such as GPRS, LTE, WiMAX and WLAN are brought
together to form a single wireless network environment the
reason behind this is that a single type of network or an
homogenous network hardly could satisfy different need of
services required by users and diverse applications. Each
network has its own ability to support different kinds of
application and services with different quality of service
requirements [1].
In order to overcome such drawbacks and gain
benefit from the diversity of different technologies these
next generation wireless networks are brought to form a
single network and support such diverse application and
maximally satisfy users needs.
Selection of the optimal network among available
networks is one of the challenging tasks because several
criteria’s and parameters involved in it such as service type,
network condition, system performance and user
preferences for making the decision.
Selection mechanisms are of three types those
under user control, network control and cooperationofboth
[1]. Handoff can be classified as vertical and horizontal and
further classified on who controls the handoff decision [8].
All these factors make the decision making more complex. A
new network selection scheme that explicitly takes into
account user preference, available network parameter and
quality of service requirements for selecting the optimal
network is proposed here. IEEE 802.21 MIH framework is
used by the proposed system for creatingtheheterogeneous
network environment, information gathering and handoff
initiating. In the proposed system, different parameters are
acquired by using different System Access Points (SAP’S)
Services provided by the MIH framework and the Selection
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1335
Fig. 1. Classification of handoff
Decision Module will use these parameters for
computing the utility factor for each network and selects the
best among them for executing the handoff. The proposed
system cut downs the computational complexity byselecting
the available context information of optimal networks from
the database. The proposed system best meets the need of
user and ensures the selection of optimal network to
perform handoff in heterogeneous wireless network
environment.
2. RELATED WORK
Sharing of connection by differenttypesofwirelessnetworks
is called vertical handoff. It has different phases such as:
handoffinitiation,discoveringnetworks,decisionmakingand
execution ofhandoff.TheMNacquirestheneighbornetworks
information like: bandwidth available cost of service,
network security, delay and packet loss in discovering the
network. During the decision making, by using this
information obtained, the node will decide the connection
network. Later in execution of handoffthenodewillcarryout
its connection with the targeted network. Various network
selection algorithms can be classified [8] as (1) Traditional
(Received signal strength), (2) Bandwidth based, (3)
Functional-based, (4) Multi-criteria, (5) Computational
intelligence and (6) Context aware. RSS based traditional
VHD algorithms in compares the RSS of the current point of
attachment against the otherstomakehandoffdecisions.The
author has classified the RSS based algorithm into different
sub-categories on vertical as well as horizontal handoff. The
complexity of RSS based algorithms is simple, which is
followed by bandwidth based algorithms. Bandwidth based
algorithm as in it is also shown that, SINR based handoffshas
the ability toprovidewithhigheroverallthroughputthanRSS
based handoffs to userssincethethroughputthatisavailable,
will depend on the SINR, and the resultant algorithm is
capable of balancing the loads between the WLAN and the
WCDMA networks. But such an algorithm may also tends to
unnecessary handoffs with variation to signaltointerference
and noise ratio (SINR) that causes themobilenodetohandoff
forth and back between two networks, this situation is
referred as the Ping-Pong effect, this algorithm reduces the
wrong decision probability and traffic load balancing where,
Received signal strength isn’t considered. A handoff to a
selected network with more bandwidthandweakstrengthof
signal received is not required as those results into
breakdown of the connection.
In Context-aware handoff decision making the terminal
governs its surroundings and saves context information that
is relevant for making handoff. Context aware decision
making governs and usesinformationofdevice,network,and
user and try to improve the connectivity, QoS and by
maintaining users satisfaction. In a context-aware vertical
handoff decision strategy is used that combines the fuzzy
logic technique and the AHP technique for selecting the best
network. Imprecise data during handoffs are also handled
and addressed. IEEE 802.21 Media Independent Handoff
(MIH) approach [15] allowed a common primitive for
heterogeneous network environment forcentralabstraction
of control and information querying that acts as a common
interface forexchange messages by providing functionalities
such as event service, command service and information
service of MIH. The author in [7] proposed handoff
architecture for heterogeneous networks. This architecture
was an extension to the IEEE 802.21MIH. The proposed
architecture considered the users needs and resources that
are available of IEEE class for making the decision for best
network selection. To enable the MIH functionality and
enabling accepting of multiple hop mode to operate in
heterogeneous wirelessnetworkenvironmentsbyeffectively
using the services provided by MIH framework an extended
MIH model for Multi hop mode operation was proposed in.
The proposed techniques proved to be vital in multi-hop
seamless handoff when it comes to consider in the personal
environments. This model presents and evaluates the
message exchange functionality to enhancetheMIHservices.
The results show that user experiences seamless mobility in
both single model and multimodal hop networks scenarios.
Some simulation results shown by author also proved that
the proposed system gains the benefit of MIH Event triggers
in predicting a connection loss that may happen in future;
this can result in a reduced delay in handoff and early
preparation for making handoff.
2.1 Proposed MIH based Optimal Network Selection
In the proposed system mobile terminal requires
information about the available access networks for the
decision making and computation.
Fig 2 IEEE 802.21 General architecture
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1336
Independent handoff standard makes it easy for
exchanging and signaling the message between different
modules and access networks. This standard helps in
obtaining required information about network as well as
user.
3. IEEE 802.21 MIH STANDARD OVERVIEW
A protocol has been proposed for vertical handoff based
on IEEE 802.21 MIH [6] it makes link layer and other
information associated to it available for upper layers to
achieve mobility between heterogeneous networks while
keeping session continued. The proposed system will be
configured by MIH framework for providing a common
interface for managing events and controlling messages that
switchesbetweenthemodulesanddifferentaccessnetworks.
An overview of the general architecture of the MIH
framework as defined by IEEE 802.21 standard,fig.2showsa
MN that has two interfaces, a 3GPP interface and an 802
interface that is connected to the network. It shows also the
intern architecture of the 802 network (which can be an
access point) and the 3GPP network(thebasestation).Allthe
nodes displayed in the figurehave a central entity MIHF. The
MIHF provides services to the upper layers through
interfaces that are technology independent. It obtains
information from the lower layers through many interfaces
or technology-dependent system access points (SAPs). This
information is used by the MIH users to make better handoff
decisions. The communication between MIHF and the MIH
users and between MIHF and lower layers is done through
the use of SAPs. The current version of IEEE 802.21 defines
three types of SAPs.
1) MIH-SAP: used forcommunication between MIHusers
and the MIHF.
2) MIH-LINK-SAP: used for communication between the
MIHF and lower layers.
3) MIH-NET-SAP: used for the exchange of information
between remote MIHF.
4) MIH point of service (MIH PoS): a network entity that
exchanges necessary MIH messages with MNs. A PoS can
communicate with many MNs at a time, a MN an
communicate with many PoSs.
5) MIH point of attachment (PoA): can be an access point
(AP) or a base station (BS).
In the context of MIHs, there are two types of entities. Non-
MIH entities are managed by a third party. MIH entities
implement the standard. All these entities and their
interactions are represented in Fig. 2, which is a reference
model for 802.21
3.1 System design and architecture
The proposed system architecture is shown in fig. 3 The
mobile terminal(MT) with multiple interfaces have the
capability to operate in 3GPP LTE, WiMAX and Wi-Fi
interfaces, and use the services supplied by the MIHF to
provide an integrated architecture. We suppose also that all
entities networks are equipped with MIH functionalities.The
core network (MIIS server) isassumedtobeabletoconnecta
variety of different access systems, and access selection
derived from a mixture of user preferences, access network
conditions.
Fig. 3. Proposed architecture
3.2 Profile Database (PD)
It maintains all the required information that is required
to assist the selection decision algorithm when it makes the
best network selection decisions. The following data are
stored in the PD: Data related to applications QoS
requirements. It contains mainly the QoS level required by
each application. For example, the useful parameters from
the application QoS requirements could be: Minimum
necessary bit rate (kb/s),supported bit error rate, required
security level and maximum tolerated delay. Data related to
the available networks performance such as the mean bit
rate, the maximum packet size, the packet error rate, the bit
error rate, and the average latency to send a packet.
3.3 Profile Manager (PM):
The PM includes two entities:I. Handoff Control Manager
(HCM) : HCM has the abilities to support MT controlled
handoff. Context Aware Manager (CAM): CAM identifies
information of MT and generates triggereventstoHCM.HCM
supervises all the available entities that are responsible for
the optimal network selection decision (network, user,
application, and terminal) and stores the necessary
information in the PD. The HCM also determines when it is
necessary to triggertheSelectionDecisionModule(SDM)and
assists in making the choice of the best access. Indeed, the
HCM triggers the SDM in the following cases:
1) A modification of network interface status.
2) An application been created or deleted.
3) Flow monitored parameters values modification.
4) User preferences or operator constraints change.
5) Network performance modification.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1337
HCM has the ability to make the automatic selection of an
access network. It does the selection by keeping all the
required information for selecting proper interface
configuration.
3.3.1 Selection Decision Module (SDM):
Selection decision module is called when trigger event is
generated from the profile Manager to selection of optimal
network amongavailablenetworkonlywhentheHCMfailsto
select the network.
4 PROPOSED SELECTION DECISION MODULE
In heterogeneous environments,criteriatoselectthebest
network is one of the main challenges forachievingseamless
mobility, as there is no single factor than can provide a clear
idea of which to select. Some of the most important decision
factors are:
1) User satisfaction degree.
2) Offered bandwidth.
3) Velocity.
4) Signal strength.
5) Interference (load balancing).
6) Power requirements.
Each network selection algorithm proposed in related
work has its own advantages and disadvantages. All of them
where designed to meet different needs of mobile users with
respect to bandwidth, reliability, cost orpowerconservation.
The proposed system uses multi criteria decision making
strategy for finding the optimal network. It uses the
parameters of available networks, QoS requirements and
user preference for computing the optimal network among
available access networks.
5 MATHEMATICAL MODULE
This section presents the set theory analysis.
1) Let S be the set of proposed system S=
Ev, Cm, In, F, Fs, Fl Where,
Ev= Event services.
Cm= Command services.
In= Information services.
F= Set of functions.
Fs= Final state.
Fl= Failure state.
2) Identify the inputs.
Let I be the set of inputs.
I= Ia, Nid, Lp, Rp, Cst, Sc, Qos Where,
Ia = Information about List available networks.
Nid= Information about network ID.
Lp = Information about access point.
Rp = Information about Roaming partners.
Cst= Information of cost of service.
Sc = Information of security.
Qos= Information about quality of service requirements.
3) Identify the set outputs.
Let O be the set of outputs.
O=E, T, Cmd Where,
E = Events service.
T = Triggers.
Cmd= Command service.
4) Identify the set of Functions
Let F be the set of Functions F= F1, F2,
F3, F4 Where,
F1 = Handoff initiate.
F2 = Handoff preparation.
F3 = Handoff complete.
F4 = Handoff commit.
5) Final state.
Fs= Always best connected.
6) Failure case. Fl= No network found
6 PROPOSED ALGORITHM
This section presents the steps in proposed algorithm 1.
Event occurs: The mobile terminal enters into the radio
access technology and makes a call for list of available
networks.
Fig. 4. Proposed Algorithm
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1338
4. CONCLUSIONS AND FUTURE SCOPE
The proposed system presents a new and efficient method
with objective to determine the optimal network available
under which handoff should be performed. To support MIH
services, appropriate primitives are added to configure the
wireless network this is why it is still not fully exploited and
not yet largely implemented by theindustry. Work shouldbe
done so that no additional primitives need to be added.
REFERENCES
[1] Abhijit Sarma,Sandip Chakraborty, Context Aware
Handover Management: Sustaining QoS and QoE in a
Public IEEE 802.11e Hotspot,IEEE transactions on
network and service management DEC 2014.
[2] [2] S.R. Mugunthan a, C. Palanisamy b, Localizedhandoff
architectures for seamless access in wireless
networks,ScienceDirect, Computers and Electrical
Engineering .pp 494503, 2014.
[3] [3] Shanzhi Chen, Yan Shi, Bo Hu, and Ming Ai, Mobility-
Driven Networks (MDN): From Evolution to Visions of
Mobility Management,IEEE Network ,July/August2014.
[4] [4] Igor Bisio,Carlo Braccini,Stefano Delucchi, Fabio
Lavagetto and MarioMarchese,Dynamic Multi-Attribute
Network Selection Algorithm for Vertical Handoff
Procedures over Mobile Ad Hoc Networks, IEEE Adhoc
and Sensor Networking Symposium, 2014.
[5] [5] Kiran Ahujaa, Brahmjit Singhb, Rajesh Khanna,
Network selection algorithm based on link quality
parameters for heterogeneous wireless networks,
Science Direct- optik.pp 3657-3662, 2014.
[6] [6] N. Omheni, F. Zarai, M. S. Obaidat, and L. Kamoun,
Optimized MIHAssisted P-NEMO design for Vertical
Handoff over Heterogeneous Network Mobility, IEEE -
Mobile and Wireless Networking Symposium,2014.
[7] [7] Jos Jailton, Tssio Carvalho, Warley Valente, Carlos
Natalino,and Renato Francs, A Quality of Experience
Handoff Architecture for Heterogeneous Mobile
Wireless Multimedia Networks, IEEE Communications
Magazine, 2013.
[8] [8] Dhanaraj Cheelu , M. RajasekharaBabu , P. Venkata
Krishna, A Study of Vertical Handoff DecisionStrategies
in Heterogeneous WirelessNetworks, International
Journal of Engineering and TechnologyIJET,JunJul 2013
[9] [9] Sandra Brigit Johnson ,SaranyaNath P and
T.Velmurugan, An Optimized Algorithm for Vertical
Handoff in Heterogeneous Wireless Networks, ,IEEE
Conference on Information and Communication
Technologies ICT 2013.
[10] [10] Shin-Jer Yang , Wen-Chieh Tseng, Design novel
weighted rating of multiple attributes scheme to
enhance handoff efficiency in heterogeneous wireless
networks, Science Direct, Computer Communications
.pp-1498-1514, 2013.
[11] [11] Zohar Naor, Fast and reliable handoff for vehicular
networks, Science Direct, Ad Hoc Networks. pp.2136-
2145,
[12] 2013.
[13] [12] Muhammad Younas and Irfan Awan, Mobility
Management SchemeforContext-AwareTransactionsin
Pervasive and Mobile Cyberspace,IEEETRANSACTIONS
ON INDUSTRIAL ELECTRONICS, VOL. 60, NO. 3, MARCH
2013.
[14] [13] Dong-Hoon Shin, Danny Moses and Muthaiah
Venkatachalam, Saurabh Bagchi, Distributed Mobility
Management for Efficient Video Delivery over All-IP
MobileNetworks:CompetingApproaches,IEEENetwork,
March/April 2013.
[15] [14] D. Corujo, M. Lebre, D. Gomes, R. L. Aguiar,
Furthering Media IndependenceMechanismsforFuture
Internet Enablement, Workshop on
Telecommunications, IEEE pp-978-4577, 2012.
[16] [15] Tiago Cardoso, Pedro Neves, Manuel Ricardo,
Susana Sargento, Media Independent Handoff
Management in Heterogeneous Access Networks - An
Empirical Evaluation,IEEE. pp- 978-1-4244-833, 2011.

Weitere ähnliche Inhalte

Was ist angesagt?

A Network and Position Proposal Scheme using a Link-16 based C3I System
A Network and Position Proposal Scheme using a Link-16 based C3I SystemA Network and Position Proposal Scheme using a Link-16 based C3I System
A Network and Position Proposal Scheme using a Link-16 based C3I SystemUniversity of Piraeus
 
A WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIES
A WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIESA WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIES
A WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIESijcsit
 
Wireless personal communication
Wireless personal communicationWireless personal communication
Wireless personal communicationVenu Madhav
 
11.providing security to wireless packet networks by using optimized security...
11.providing security to wireless packet networks by using optimized security...11.providing security to wireless packet networks by using optimized security...
11.providing security to wireless packet networks by using optimized security...Alexander Decker
 
TRUST MANAGEMENT FOR DELAY TOLERANT NETWORK
TRUST MANAGEMENT FOR DELAY TOLERANT NETWORKTRUST MANAGEMENT FOR DELAY TOLERANT NETWORK
TRUST MANAGEMENT FOR DELAY TOLERANT NETWORKIAEME Publication
 
Proposed Scheme for Secured Routing in MANET
Proposed Scheme for Secured Routing in MANETProposed Scheme for Secured Routing in MANET
Proposed Scheme for Secured Routing in MANETIJAEMSJORNAL
 
Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs
Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNsDesign and Implementation of TARF: A Trust-Aware Routing Framework for WSNs
Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNsijsrd.com
 
An efficient transport protocol for delivery of multimedia content in wireles...
An efficient transport protocol for delivery of multimedia content in wireles...An efficient transport protocol for delivery of multimedia content in wireles...
An efficient transport protocol for delivery of multimedia content in wireles...Alexander Decker
 
Distributed reflection denial of service attack: A critical review
Distributed reflection denial of service attack: A critical review Distributed reflection denial of service attack: A critical review
Distributed reflection denial of service attack: A critical review IJECEIAES
 
Efficient radio resource allocation scheme for 5G networks with device-to-devi...
Efficient radio resource allocation scheme for 5G networks with device-to-devi...Efficient radio resource allocation scheme for 5G networks with device-to-devi...
Efficient radio resource allocation scheme for 5G networks with device-to-devi...IJECEIAES
 
A vertical handover decision approaches in next generation wireless networks ...
A vertical handover decision approaches in next generation wireless networks ...A vertical handover decision approaches in next generation wireless networks ...
A vertical handover decision approaches in next generation wireless networks ...ijmnct
 
A Study of Protocols for Grid Computing Environment
A Study of Protocols for Grid Computing EnvironmentA Study of Protocols for Grid Computing Environment
A Study of Protocols for Grid Computing EnvironmentCSCJournals
 
Low-cost wireless mesh communications based on openWRT and voice over interne...
Low-cost wireless mesh communications based on openWRT and voice over interne...Low-cost wireless mesh communications based on openWRT and voice over interne...
Low-cost wireless mesh communications based on openWRT and voice over interne...IJECEIAES
 
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKS
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKSBIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKS
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKSijwmn
 
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...ijcsit
 
Ijarcet vol-2-issue-3-875-880
Ijarcet vol-2-issue-3-875-880Ijarcet vol-2-issue-3-875-880
Ijarcet vol-2-issue-3-875-880Editor IJARCET
 

Was ist angesagt? (18)

A Network and Position Proposal Scheme using a Link-16 based C3I System
A Network and Position Proposal Scheme using a Link-16 based C3I SystemA Network and Position Proposal Scheme using a Link-16 based C3I System
A Network and Position Proposal Scheme using a Link-16 based C3I System
 
A WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIES
A WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIESA WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIES
A WIRELESS NETWORK INFRASTRUCTURE ARCHITECTURE FOR RURAL COMMUNITIES
 
Wireless personal communication
Wireless personal communicationWireless personal communication
Wireless personal communication
 
11.providing security to wireless packet networks by using optimized security...
11.providing security to wireless packet networks by using optimized security...11.providing security to wireless packet networks by using optimized security...
11.providing security to wireless packet networks by using optimized security...
 
TRUST MANAGEMENT FOR DELAY TOLERANT NETWORK
TRUST MANAGEMENT FOR DELAY TOLERANT NETWORKTRUST MANAGEMENT FOR DELAY TOLERANT NETWORK
TRUST MANAGEMENT FOR DELAY TOLERANT NETWORK
 
Proposed Scheme for Secured Routing in MANET
Proposed Scheme for Secured Routing in MANETProposed Scheme for Secured Routing in MANET
Proposed Scheme for Secured Routing in MANET
 
Booysen machine 2012
Booysen machine 2012Booysen machine 2012
Booysen machine 2012
 
Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs
Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNsDesign and Implementation of TARF: A Trust-Aware Routing Framework for WSNs
Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs
 
An efficient transport protocol for delivery of multimedia content in wireles...
An efficient transport protocol for delivery of multimedia content in wireles...An efficient transport protocol for delivery of multimedia content in wireles...
An efficient transport protocol for delivery of multimedia content in wireles...
 
Distributed reflection denial of service attack: A critical review
Distributed reflection denial of service attack: A critical review Distributed reflection denial of service attack: A critical review
Distributed reflection denial of service attack: A critical review
 
Efficient radio resource allocation scheme for 5G networks with device-to-devi...
Efficient radio resource allocation scheme for 5G networks with device-to-devi...Efficient radio resource allocation scheme for 5G networks with device-to-devi...
Efficient radio resource allocation scheme for 5G networks with device-to-devi...
 
A vertical handover decision approaches in next generation wireless networks ...
A vertical handover decision approaches in next generation wireless networks ...A vertical handover decision approaches in next generation wireless networks ...
A vertical handover decision approaches in next generation wireless networks ...
 
A Study of Protocols for Grid Computing Environment
A Study of Protocols for Grid Computing EnvironmentA Study of Protocols for Grid Computing Environment
A Study of Protocols for Grid Computing Environment
 
E018113036
E018113036E018113036
E018113036
 
Low-cost wireless mesh communications based on openWRT and voice over interne...
Low-cost wireless mesh communications based on openWRT and voice over interne...Low-cost wireless mesh communications based on openWRT and voice over interne...
Low-cost wireless mesh communications based on openWRT and voice over interne...
 
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKS
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKSBIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKS
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKS
 
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...
CYBER INFRASTRUCTURE AS A SERVICE TO EMPOWER MULTIDISCIPLINARY, DATA-DRIVEN S...
 
Ijarcet vol-2-issue-3-875-880
Ijarcet vol-2-issue-3-875-880Ijarcet vol-2-issue-3-875-880
Ijarcet vol-2-issue-3-875-880
 

Ähnlich wie User Preference based Network Selection in Wireless Networks

Multi-Criteria Handoff Decision Algorithms In Wireless Networks
Multi-Criteria Handoff Decision Algorithms In Wireless NetworksMulti-Criteria Handoff Decision Algorithms In Wireless Networks
Multi-Criteria Handoff Decision Algorithms In Wireless Networksiosrjce
 
USER CENTRIC NETWORK SELECTION IN WIRELESS HETNETS
USER CENTRIC NETWORK SELECTION IN WIRELESS HETNETSUSER CENTRIC NETWORK SELECTION IN WIRELESS HETNETS
USER CENTRIC NETWORK SELECTION IN WIRELESS HETNETSijwmn
 
Quality of experience aware network selection model for service provisioning...
Quality of experience aware network selection model for service  provisioning...Quality of experience aware network selection model for service  provisioning...
Quality of experience aware network selection model for service provisioning...IJECEIAES
 
Intelligent network selection using fuzzy logic for 4 g wireless networks
Intelligent network selection using fuzzy logic for 4 g wireless networksIntelligent network selection using fuzzy logic for 4 g wireless networks
Intelligent network selection using fuzzy logic for 4 g wireless networksIAEME Publication
 
Network selection based on chi-square distance and reputation for internet o...
Network selection based on chi-square distance and reputation  for internet o...Network selection based on chi-square distance and reputation  for internet o...
Network selection based on chi-square distance and reputation for internet o...IJECEIAES
 
Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2IAEME Publication
 
Paper id 26201429
Paper id 26201429Paper id 26201429
Paper id 26201429IJRAT
 
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless NetworksThe Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless NetworksIRJET Journal
 
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless NetworksThe Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless NetworksIRJET Journal
 
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...IRJET Journal
 
IRJET- Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...
IRJET-  Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...IRJET-  Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...
IRJET- Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...IRJET Journal
 
Enhancing qo s and qoe in ims enabled next generation networks
Enhancing qo s and qoe in ims enabled next generation networksEnhancing qo s and qoe in ims enabled next generation networks
Enhancing qo s and qoe in ims enabled next generation networksgraphhoc
 
Analysis of back propagation and radial basis function neural networks for ha...
Analysis of back propagation and radial basis function neural networks for ha...Analysis of back propagation and radial basis function neural networks for ha...
Analysis of back propagation and radial basis function neural networks for ha...IJECEIAES
 
REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...
REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...
REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...AM Publications,India
 
8 of the Must-Read Network & Data Communication Articles Published this weeke...
8 of the Must-Read Network & Data Communication Articles Published this weeke...8 of the Must-Read Network & Data Communication Articles Published this weeke...
8 of the Must-Read Network & Data Communication Articles Published this weeke...IJCNCJournal
 
Secure Data Aggregation Of Wireless Sensor Networks
Secure Data Aggregation Of Wireless Sensor NetworksSecure Data Aggregation Of Wireless Sensor Networks
Secure Data Aggregation Of Wireless Sensor NetworksAmy Moore
 
A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...
A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...
A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...Editor IJMTER
 
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wireless ...A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wireless ...
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...IRJET Journal
 
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wir...IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wir...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...IRJET Journal
 

Ähnlich wie User Preference based Network Selection in Wireless Networks (20)

Multi-Criteria Handoff Decision Algorithms In Wireless Networks
Multi-Criteria Handoff Decision Algorithms In Wireless NetworksMulti-Criteria Handoff Decision Algorithms In Wireless Networks
Multi-Criteria Handoff Decision Algorithms In Wireless Networks
 
USER CENTRIC NETWORK SELECTION IN WIRELESS HETNETS
USER CENTRIC NETWORK SELECTION IN WIRELESS HETNETSUSER CENTRIC NETWORK SELECTION IN WIRELESS HETNETS
USER CENTRIC NETWORK SELECTION IN WIRELESS HETNETS
 
Quality of experience aware network selection model for service provisioning...
Quality of experience aware network selection model for service  provisioning...Quality of experience aware network selection model for service  provisioning...
Quality of experience aware network selection model for service provisioning...
 
Intelligent network selection using fuzzy logic for 4 g wireless networks
Intelligent network selection using fuzzy logic for 4 g wireless networksIntelligent network selection using fuzzy logic for 4 g wireless networks
Intelligent network selection using fuzzy logic for 4 g wireless networks
 
Network selection based on chi-square distance and reputation for internet o...
Network selection based on chi-square distance and reputation  for internet o...Network selection based on chi-square distance and reputation  for internet o...
Network selection based on chi-square distance and reputation for internet o...
 
71 338-347
71 338-34771 338-347
71 338-347
 
Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2
 
Paper id 26201429
Paper id 26201429Paper id 26201429
Paper id 26201429
 
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless NetworksThe Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
 
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless NetworksThe Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
The Utility based AHP& TOPSIS Methods for Smooth Handover in Wireless Networks
 
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
 
IRJET- Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...
IRJET-  Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...IRJET-  Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...
IRJET- Virtual Network Recognition and Optimization in SDN-Enabled Cloud Env...
 
Enhancing qo s and qoe in ims enabled next generation networks
Enhancing qo s and qoe in ims enabled next generation networksEnhancing qo s and qoe in ims enabled next generation networks
Enhancing qo s and qoe in ims enabled next generation networks
 
Analysis of back propagation and radial basis function neural networks for ha...
Analysis of back propagation and radial basis function neural networks for ha...Analysis of back propagation and radial basis function neural networks for ha...
Analysis of back propagation and radial basis function neural networks for ha...
 
REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...
REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...
REUSABILITY-AWARE ROUTING WITH ENHANCED SECURE DATA TRANSMISSION USING HOP-BY...
 
8 of the Must-Read Network & Data Communication Articles Published this weeke...
8 of the Must-Read Network & Data Communication Articles Published this weeke...8 of the Must-Read Network & Data Communication Articles Published this weeke...
8 of the Must-Read Network & Data Communication Articles Published this weeke...
 
Secure Data Aggregation Of Wireless Sensor Networks
Secure Data Aggregation Of Wireless Sensor NetworksSecure Data Aggregation Of Wireless Sensor Networks
Secure Data Aggregation Of Wireless Sensor Networks
 
A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...
A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...
A Comparative Analysis of Vertical Handover Decision Process Algorithms for N...
 
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wireless ...A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wireless ...
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
 
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wir...IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for   Wir...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
 

Mehr von IRJET Journal

TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
 
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURESTUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
 
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
 
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil CharacteristicsEffect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
 
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
 
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
 
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
 
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
 
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADASA REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADASIRJET Journal
 
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
 
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD ProP.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
 
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
 
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemSurvey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
 
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridgesReview on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridgesIRJET Journal
 
React based fullstack edtech web application
React based fullstack edtech web applicationReact based fullstack edtech web application
React based fullstack edtech web applicationIRJET Journal
 
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
 
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
 
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
 
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignMultistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
 
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
 

Mehr von IRJET Journal (20)

TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
 
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURESTUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
 
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
 
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil CharacteristicsEffect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
 
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
 
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
 
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
 
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
 
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADASA REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
 
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
 
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD ProP.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
 
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
 
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemSurvey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
 
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridgesReview on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
 
React based fullstack edtech web application
React based fullstack edtech web applicationReact based fullstack edtech web application
React based fullstack edtech web application
 
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
 
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
 
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
 
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignMultistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
 
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
 

Kürzlich hochgeladen

Vishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsVishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsSachinPawar510423
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
lifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptxlifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptxsomshekarkn64
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...121011101441
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...asadnawaz62
 

Kürzlich hochgeladen (20)

young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 
Vishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsVishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documents
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
lifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptxlifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptx
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...
 

User Preference based Network Selection in Wireless Networks

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1334 User Preference Based Network Selection in Wireless Networks Vrushali U. Uttarwar1, Dipali M. Patil 2 1,2Department of Computer Engineering, D.Y. Patil College of Engineering, Akurdi, Pune, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - An Wireless networking is becoming an increasingly important and popular way of providing global information access to users on the move. One of the main challenges for seamless mobility is the availability of simple and robust vertical handoff algorithms, which allow a mobile node to roam among heterogeneous wireless networks. The objective is to determine the conditions under which handoff should be performed. Nowadays mobile handsets are capable of having different network interfaces. There are multiple criteria for handoff in NGWN. Handoff decision algorithm decides the optimal target network by considering a set of decision parameters including available bandwidth, velocity, throughput, monetary cost, security and user preference. One of the technical challenges with this integration and interfacing of heterogeneous wireless networks is handoff decision that is used to choose the optimal network depending upon the type and service requirements demanded by the user’s application. Heterogeneous wireless network will be dominant in next generation wireless networks (NGWN). Increasing user demands and the growing interest of service providers to offer diverse applications have motivated the integration of heterogeneous wireless networks which enable the users to move seamlessly acrossdifferenttypesofnetworks and to enjoy anytime, anywhere services. Key Words: Mobility management, Next generation wireless networks, Media independenthandoff,Vertical handoff management. 1. INTRODUCTION There has been tremendous changes taking placeinconcern to network landscape, recently most of the homogeneous networks are changed to heterogeneous networks. The reason behind this is, due to the innovation of multimodal terminal devices that has the ability to support more than one type of network with multiple interface capability. Handoff is the method by which a mobile node can move logically within the network environment without any service interruptions and keeps its session active while on the move Handoff execution is initiated by the selection of access network only when the strength of signal from the base station goes down or the base station is unable to provide service as per the users requirements. Crowded sceneshave been morefrequentinthereal world because of increase of population and variety of human activities. Due to increase in popularity a crowded scenes analysis is an area of interest to scientists in the recent times. It brings out massive challenges to public management, security or safety. In the last decade, automated scene analysis has already pulled much research attention in the computer vision community. In case of crowded scenes, the problems cannotbehandledwell dueto the large number of individual participation. These individual not only cause the detection and tracking fail, but also greatly increases computational complexity.Undersuch circumstance, crowded scene analysis as a unique topic, is specifically addressed. Different types of Next generation wireless networks such as GPRS, LTE, WiMAX and WLAN are brought together to form a single wireless network environment the reason behind this is that a single type of network or an homogenous network hardly could satisfy different need of services required by users and diverse applications. Each network has its own ability to support different kinds of application and services with different quality of service requirements [1]. In order to overcome such drawbacks and gain benefit from the diversity of different technologies these next generation wireless networks are brought to form a single network and support such diverse application and maximally satisfy users needs. Selection of the optimal network among available networks is one of the challenging tasks because several criteria’s and parameters involved in it such as service type, network condition, system performance and user preferences for making the decision. Selection mechanisms are of three types those under user control, network control and cooperationofboth [1]. Handoff can be classified as vertical and horizontal and further classified on who controls the handoff decision [8]. All these factors make the decision making more complex. A new network selection scheme that explicitly takes into account user preference, available network parameter and quality of service requirements for selecting the optimal network is proposed here. IEEE 802.21 MIH framework is used by the proposed system for creatingtheheterogeneous network environment, information gathering and handoff initiating. In the proposed system, different parameters are acquired by using different System Access Points (SAP’S) Services provided by the MIH framework and the Selection
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1335 Fig. 1. Classification of handoff Decision Module will use these parameters for computing the utility factor for each network and selects the best among them for executing the handoff. The proposed system cut downs the computational complexity byselecting the available context information of optimal networks from the database. The proposed system best meets the need of user and ensures the selection of optimal network to perform handoff in heterogeneous wireless network environment. 2. RELATED WORK Sharing of connection by differenttypesofwirelessnetworks is called vertical handoff. It has different phases such as: handoffinitiation,discoveringnetworks,decisionmakingand execution ofhandoff.TheMNacquirestheneighbornetworks information like: bandwidth available cost of service, network security, delay and packet loss in discovering the network. During the decision making, by using this information obtained, the node will decide the connection network. Later in execution of handoffthenodewillcarryout its connection with the targeted network. Various network selection algorithms can be classified [8] as (1) Traditional (Received signal strength), (2) Bandwidth based, (3) Functional-based, (4) Multi-criteria, (5) Computational intelligence and (6) Context aware. RSS based traditional VHD algorithms in compares the RSS of the current point of attachment against the otherstomakehandoffdecisions.The author has classified the RSS based algorithm into different sub-categories on vertical as well as horizontal handoff. The complexity of RSS based algorithms is simple, which is followed by bandwidth based algorithms. Bandwidth based algorithm as in it is also shown that, SINR based handoffshas the ability toprovidewithhigheroverallthroughputthanRSS based handoffs to userssincethethroughputthatisavailable, will depend on the SINR, and the resultant algorithm is capable of balancing the loads between the WLAN and the WCDMA networks. But such an algorithm may also tends to unnecessary handoffs with variation to signaltointerference and noise ratio (SINR) that causes themobilenodetohandoff forth and back between two networks, this situation is referred as the Ping-Pong effect, this algorithm reduces the wrong decision probability and traffic load balancing where, Received signal strength isn’t considered. A handoff to a selected network with more bandwidthandweakstrengthof signal received is not required as those results into breakdown of the connection. In Context-aware handoff decision making the terminal governs its surroundings and saves context information that is relevant for making handoff. Context aware decision making governs and usesinformationofdevice,network,and user and try to improve the connectivity, QoS and by maintaining users satisfaction. In a context-aware vertical handoff decision strategy is used that combines the fuzzy logic technique and the AHP technique for selecting the best network. Imprecise data during handoffs are also handled and addressed. IEEE 802.21 Media Independent Handoff (MIH) approach [15] allowed a common primitive for heterogeneous network environment forcentralabstraction of control and information querying that acts as a common interface forexchange messages by providing functionalities such as event service, command service and information service of MIH. The author in [7] proposed handoff architecture for heterogeneous networks. This architecture was an extension to the IEEE 802.21MIH. The proposed architecture considered the users needs and resources that are available of IEEE class for making the decision for best network selection. To enable the MIH functionality and enabling accepting of multiple hop mode to operate in heterogeneous wirelessnetworkenvironmentsbyeffectively using the services provided by MIH framework an extended MIH model for Multi hop mode operation was proposed in. The proposed techniques proved to be vital in multi-hop seamless handoff when it comes to consider in the personal environments. This model presents and evaluates the message exchange functionality to enhancetheMIHservices. The results show that user experiences seamless mobility in both single model and multimodal hop networks scenarios. Some simulation results shown by author also proved that the proposed system gains the benefit of MIH Event triggers in predicting a connection loss that may happen in future; this can result in a reduced delay in handoff and early preparation for making handoff. 2.1 Proposed MIH based Optimal Network Selection In the proposed system mobile terminal requires information about the available access networks for the decision making and computation. Fig 2 IEEE 802.21 General architecture
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1336 Independent handoff standard makes it easy for exchanging and signaling the message between different modules and access networks. This standard helps in obtaining required information about network as well as user. 3. IEEE 802.21 MIH STANDARD OVERVIEW A protocol has been proposed for vertical handoff based on IEEE 802.21 MIH [6] it makes link layer and other information associated to it available for upper layers to achieve mobility between heterogeneous networks while keeping session continued. The proposed system will be configured by MIH framework for providing a common interface for managing events and controlling messages that switchesbetweenthemodulesanddifferentaccessnetworks. An overview of the general architecture of the MIH framework as defined by IEEE 802.21 standard,fig.2showsa MN that has two interfaces, a 3GPP interface and an 802 interface that is connected to the network. It shows also the intern architecture of the 802 network (which can be an access point) and the 3GPP network(thebasestation).Allthe nodes displayed in the figurehave a central entity MIHF. The MIHF provides services to the upper layers through interfaces that are technology independent. It obtains information from the lower layers through many interfaces or technology-dependent system access points (SAPs). This information is used by the MIH users to make better handoff decisions. The communication between MIHF and the MIH users and between MIHF and lower layers is done through the use of SAPs. The current version of IEEE 802.21 defines three types of SAPs. 1) MIH-SAP: used forcommunication between MIHusers and the MIHF. 2) MIH-LINK-SAP: used for communication between the MIHF and lower layers. 3) MIH-NET-SAP: used for the exchange of information between remote MIHF. 4) MIH point of service (MIH PoS): a network entity that exchanges necessary MIH messages with MNs. A PoS can communicate with many MNs at a time, a MN an communicate with many PoSs. 5) MIH point of attachment (PoA): can be an access point (AP) or a base station (BS). In the context of MIHs, there are two types of entities. Non- MIH entities are managed by a third party. MIH entities implement the standard. All these entities and their interactions are represented in Fig. 2, which is a reference model for 802.21 3.1 System design and architecture The proposed system architecture is shown in fig. 3 The mobile terminal(MT) with multiple interfaces have the capability to operate in 3GPP LTE, WiMAX and Wi-Fi interfaces, and use the services supplied by the MIHF to provide an integrated architecture. We suppose also that all entities networks are equipped with MIH functionalities.The core network (MIIS server) isassumedtobeabletoconnecta variety of different access systems, and access selection derived from a mixture of user preferences, access network conditions. Fig. 3. Proposed architecture 3.2 Profile Database (PD) It maintains all the required information that is required to assist the selection decision algorithm when it makes the best network selection decisions. The following data are stored in the PD: Data related to applications QoS requirements. It contains mainly the QoS level required by each application. For example, the useful parameters from the application QoS requirements could be: Minimum necessary bit rate (kb/s),supported bit error rate, required security level and maximum tolerated delay. Data related to the available networks performance such as the mean bit rate, the maximum packet size, the packet error rate, the bit error rate, and the average latency to send a packet. 3.3 Profile Manager (PM): The PM includes two entities:I. Handoff Control Manager (HCM) : HCM has the abilities to support MT controlled handoff. Context Aware Manager (CAM): CAM identifies information of MT and generates triggereventstoHCM.HCM supervises all the available entities that are responsible for the optimal network selection decision (network, user, application, and terminal) and stores the necessary information in the PD. The HCM also determines when it is necessary to triggertheSelectionDecisionModule(SDM)and assists in making the choice of the best access. Indeed, the HCM triggers the SDM in the following cases: 1) A modification of network interface status. 2) An application been created or deleted. 3) Flow monitored parameters values modification. 4) User preferences or operator constraints change. 5) Network performance modification.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1337 HCM has the ability to make the automatic selection of an access network. It does the selection by keeping all the required information for selecting proper interface configuration. 3.3.1 Selection Decision Module (SDM): Selection decision module is called when trigger event is generated from the profile Manager to selection of optimal network amongavailablenetworkonlywhentheHCMfailsto select the network. 4 PROPOSED SELECTION DECISION MODULE In heterogeneous environments,criteriatoselectthebest network is one of the main challenges forachievingseamless mobility, as there is no single factor than can provide a clear idea of which to select. Some of the most important decision factors are: 1) User satisfaction degree. 2) Offered bandwidth. 3) Velocity. 4) Signal strength. 5) Interference (load balancing). 6) Power requirements. Each network selection algorithm proposed in related work has its own advantages and disadvantages. All of them where designed to meet different needs of mobile users with respect to bandwidth, reliability, cost orpowerconservation. The proposed system uses multi criteria decision making strategy for finding the optimal network. It uses the parameters of available networks, QoS requirements and user preference for computing the optimal network among available access networks. 5 MATHEMATICAL MODULE This section presents the set theory analysis. 1) Let S be the set of proposed system S= Ev, Cm, In, F, Fs, Fl Where, Ev= Event services. Cm= Command services. In= Information services. F= Set of functions. Fs= Final state. Fl= Failure state. 2) Identify the inputs. Let I be the set of inputs. I= Ia, Nid, Lp, Rp, Cst, Sc, Qos Where, Ia = Information about List available networks. Nid= Information about network ID. Lp = Information about access point. Rp = Information about Roaming partners. Cst= Information of cost of service. Sc = Information of security. Qos= Information about quality of service requirements. 3) Identify the set outputs. Let O be the set of outputs. O=E, T, Cmd Where, E = Events service. T = Triggers. Cmd= Command service. 4) Identify the set of Functions Let F be the set of Functions F= F1, F2, F3, F4 Where, F1 = Handoff initiate. F2 = Handoff preparation. F3 = Handoff complete. F4 = Handoff commit. 5) Final state. Fs= Always best connected. 6) Failure case. Fl= No network found 6 PROPOSED ALGORITHM This section presents the steps in proposed algorithm 1. Event occurs: The mobile terminal enters into the radio access technology and makes a call for list of available networks. Fig. 4. Proposed Algorithm
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1338 4. CONCLUSIONS AND FUTURE SCOPE The proposed system presents a new and efficient method with objective to determine the optimal network available under which handoff should be performed. To support MIH services, appropriate primitives are added to configure the wireless network this is why it is still not fully exploited and not yet largely implemented by theindustry. Work shouldbe done so that no additional primitives need to be added. REFERENCES [1] Abhijit Sarma,Sandip Chakraborty, Context Aware Handover Management: Sustaining QoS and QoE in a Public IEEE 802.11e Hotspot,IEEE transactions on network and service management DEC 2014. [2] [2] S.R. Mugunthan a, C. Palanisamy b, Localizedhandoff architectures for seamless access in wireless networks,ScienceDirect, Computers and Electrical Engineering .pp 494503, 2014. [3] [3] Shanzhi Chen, Yan Shi, Bo Hu, and Ming Ai, Mobility- Driven Networks (MDN): From Evolution to Visions of Mobility Management,IEEE Network ,July/August2014. [4] [4] Igor Bisio,Carlo Braccini,Stefano Delucchi, Fabio Lavagetto and MarioMarchese,Dynamic Multi-Attribute Network Selection Algorithm for Vertical Handoff Procedures over Mobile Ad Hoc Networks, IEEE Adhoc and Sensor Networking Symposium, 2014. [5] [5] Kiran Ahujaa, Brahmjit Singhb, Rajesh Khanna, Network selection algorithm based on link quality parameters for heterogeneous wireless networks, Science Direct- optik.pp 3657-3662, 2014. [6] [6] N. Omheni, F. Zarai, M. S. Obaidat, and L. Kamoun, Optimized MIHAssisted P-NEMO design for Vertical Handoff over Heterogeneous Network Mobility, IEEE - Mobile and Wireless Networking Symposium,2014. [7] [7] Jos Jailton, Tssio Carvalho, Warley Valente, Carlos Natalino,and Renato Francs, A Quality of Experience Handoff Architecture for Heterogeneous Mobile Wireless Multimedia Networks, IEEE Communications Magazine, 2013. [8] [8] Dhanaraj Cheelu , M. RajasekharaBabu , P. Venkata Krishna, A Study of Vertical Handoff DecisionStrategies in Heterogeneous WirelessNetworks, International Journal of Engineering and TechnologyIJET,JunJul 2013 [9] [9] Sandra Brigit Johnson ,SaranyaNath P and T.Velmurugan, An Optimized Algorithm for Vertical Handoff in Heterogeneous Wireless Networks, ,IEEE Conference on Information and Communication Technologies ICT 2013. [10] [10] Shin-Jer Yang , Wen-Chieh Tseng, Design novel weighted rating of multiple attributes scheme to enhance handoff efficiency in heterogeneous wireless networks, Science Direct, Computer Communications .pp-1498-1514, 2013. [11] [11] Zohar Naor, Fast and reliable handoff for vehicular networks, Science Direct, Ad Hoc Networks. pp.2136- 2145, [12] 2013. [13] [12] Muhammad Younas and Irfan Awan, Mobility Management SchemeforContext-AwareTransactionsin Pervasive and Mobile Cyberspace,IEEETRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 60, NO. 3, MARCH 2013. [14] [13] Dong-Hoon Shin, Danny Moses and Muthaiah Venkatachalam, Saurabh Bagchi, Distributed Mobility Management for Efficient Video Delivery over All-IP MobileNetworks:CompetingApproaches,IEEENetwork, March/April 2013. [15] [14] D. Corujo, M. Lebre, D. Gomes, R. L. Aguiar, Furthering Media IndependenceMechanismsforFuture Internet Enablement, Workshop on Telecommunications, IEEE pp-978-4577, 2012. [16] [15] Tiago Cardoso, Pedro Neves, Manuel Ricardo, Susana Sargento, Media Independent Handoff Management in Heterogeneous Access Networks - An Empirical Evaluation,IEEE. pp- 978-1-4244-833, 2011.