Query optimization for_sensor_networks

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Was ist angesagt?

Abstract: The Wireless Sensor Networks (WSNs) have emerged as a new category of networking systems with limited computing, communication, and storage resources. In many sensing applications source nodes deliver packets to sink nodes via multiple hops, leading to the problem on how to find routes that enable all packets to be delivered in required time frames, while simultaneously taking into account factors such as energy efficiency and load balancing. To solve this problem one data collection protocol is developed called EDAL, which stands for Energy-efficient Delay-aware Lifetime-balancing data collection. Methods used are centralized heuristic and ant colony gossiping to find best energy efficient path. Then integrate EDAL with compressive sensing to reduce the amount of traffic generated and to reduce delay in the network.

Efficient and Optimal Routing Scheme for Wireless Sensor Networks

paperpublications3

Advancements in WSN have led to the wide applicability of sensor network in various fields. WSNs basic classification is Reactive and Proactive network. Reactive networks responds to the very immediate changes in its environment in required parameters of interest, as opposed to the Proactive network, due to continuous sensing nature of WSN. To make it more efficient and improved in terms of Energy in network’s lifetime, we need to reduce the energy expense in the network model, which is one of the most significant issues in wireless sensor networks (WSNs) [1, 2]. In this paper, we proposed an efficient version of TSEP Protocol, which prolongs the networks lifetime by efficient utilization of sensor energy, as we have simulated. We evaluated the performance of our protocol and compared the results with the TSEP. And from the results of simulation, it can be concluded easily that our proposed efficient routing protocol performs better in terms of network lifetime and stability period

THRESHOLD SENSITIVE HETEROGENOUS ROUTING PROTOCOL FOR BETTER ENERGY UTILIZATI...

ijassn

D031202018023

ijceronline

Abstract - The clustering-based protocols are believed to be the best for heterogeneous wireless sensor networks (WSNs). The evaluation is based on two new clustering-based protocols, which are called single-hop energy-efficient clustering protocol (S-EECP) and multi-hop energy-efficient clustering protocol (M-EECP) [1]. In S-EECP, the cluster heads (CHs) are elected by a weighted probability [2] based on the ratio between average energy of the network and residual energy of each node. The nodes having more initial energy and residual energy will have more chances to be elected as CHs than nodes with low energy. In M-EECP, the election of CHs is same as S-EECP, but the elected CHs communicate the data packets to the base station via multi-hop communication approach. To analyze the network lifetime three types of sensor nodes equipped with different battery energy are assumed. By analyzing these parameters, M-EECP achieves load balance among the CHs better than the existing clustering protocols and gives prolong network lifetime. Here the simulation is based on ns-2 simulator.

Prolong Lifetime Analysis and Efficient Utilization of Energy in Heterogeneou...

IJTET Journal

One of Machine Type Communication (MTC) applications is Wireless Sensor Network (WSN). WSN is an intelligent network application system to collect, integrate, and transmit data autonomously. Sensor nodes in WSN, communicate over short distance via a wireless medium and collaborate to accomplish a common task, such as enviroment monitoring, military surveillance and industrial process control. The constraining aspect of WSN usage is the limited power of each sensor node, so energy efficiency becomes an important issue in WSN. Routing is a function in WSN, which consumes a substantial amount of energy. One of the routing protocols that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this paper, High Altitude Platform (HAP) is used to replace Base Station (BS) as sink node in WSN. HAP is designed at altitudes of 17, 20 and 22 km. Then WSN over HAP using the LEACH routing protocol evaluated its performance. Performance indicators that we evaluated are engergy consumption, number of dead nodes and total average packets which is sent to HAP. From a series of simulations conducted, the results obtained that the higher the laying of HAP, then the coverage area will be greater. So that the energy consumption will be smaller, the number of dead node less and the avarage of total packet delivered to the HAP will be greater.

Wireless Sensor Network over High Altitude Platform

TELKOMNIKA JOURNAL

From: "Rachel Lance" <rlance@lbl.gov> Subject: [CSSeminars] REMINDER: Berkeley Lab - Computing Sciences Seminar - Monday, 8/17/2009, 2:00pm TODAY Date: Mon, August 17, 2009 1:36 pm To: CSSeminars@hpcrd.lbl.gov Berkeley Lab - Computing Sciences Seminar - Reminder TODAY, August 17, 2:00pm - 3:00pm, Bldg. 50F, Room 1647 Berkeley Lab - Computing Sciences Seminar */Date/:* Monday, August 17, 2009 */Time/:* 2:00pm - 3:00pm */Location/:* Bldg. 50F, Room 1647 */Speaker/:* Mehmet Balman Department of Computer Science Louisiana State University */Title/:* Advance Network Reservation and Provisioning for Science */Abstract/:* Scientific applications already generate many terabytes and even petabytes of data from supercomputer runs and large-scale experiments. The need for transferring data chunks of ever-increasing sizes through the network shows no sign of abating. Hence, we need high-bandwidth high speed networks such as DoE's ESnet (Energy Sciences Network) that manage the available bandwidth effectively. OSCARS (ESnet On-demand Secure Circuits and Advance Reservation System) serves as the network provisioning agent on ESnet. Currently, using OSCARS, a user can specify a desired bandwidth reservation of bandwidth x MB/sec for a duration y hours starting at time t. OSCARS checks network availability and capacity for the specified window of time, and allocates it for that user if it is available. Otherwise, it reports to the user that it is unable to do the allocation. Accordingly, it falls upon the user to search for a time-frame of a required bandwidth by trial-and-error, not having knowledge of the network's available capacity at a certain instant of time. We report a novel algorithm, where the user specifies the total volume that needs to be transferred, a maximum bandwidth that he/she can use, and a desired time window within which the transfer should be done. The proposed algorithm can find alternate allocation possibilities,including earliest time for completion, or shortest transfer duration - leaving the choice to the user. The proposed algorithm is quite practical when applied to large networks with thousands of routers and links. We have implemented our algorithm for testing and incorporation into a future version of OSCARS. We will finish the talk with a short demonstration. */Host of Seminar/: * Arie Shoshani -----------

Aug17presentation.v2 2009-aug09-lblc sseminar

balmanme

Information Density Estimation in Wireless Ad Hoc Networks Based on Caching ...

IOSR Journals

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Prafull Maktedar

COMPARISON OF ENERGY OPTIMIZATION CLUSTERING ALGORITHMS IN WIRELESS SENSOR NE...

IJCSIT Journal

Number of techniques used in Wireless Sensor Network to improve data collection from sensor nodes. It achieve by minimize the schedule length and dynamic channel assignment. Schedule length minimized by BFS algorithm without interfering links. Interfering links can be eliminated by transmission power control and multi frequency. The power can be save by using beacon signal. Collection of data can also be limited by topology of network. So the nodes are arranged in form. The capacitated minimal spanning trees and degree- constrained spanning trees give significant improvement in scheduling. Finally the data collection is enhancing in terms of security by using T-Hash Chain algorithm.

Enchancing the Data Collection in Tree based Wireless Sensor Networks

ijsrd.com

Scheduling different types of packets such as real - time and non - real time data packets in wireless links is necessary to reduce energy consumption of the wireless device. Most of the existing packet schedulin g mechanism uses opportunistic transmission sche duling, in which communication is postponed upto an acceptable time deadline until the best expected channel conditions to transmit are found. This algo rithm incurs a large processing overhead and more energy consumption. In this paper we propose a Dynamic Multilevel Queue Scheduling algorithm. In the proposed scheme, the ready queue is partitioned into t hree levels of priority queues. Real - time packets are placed into the highest priority queue and non - real time data packets are placed into two other queue s. We evaluate the performance of the proposed Dynamic Multilevel Queue Scheduling scheme through simulations for real - time and non - real time data. Simulation results illustrate that the Multilevel Priority packet scheduling scheme overcomes the convention al methods interms of average data waiting time and end - to - end delay

Multilevel priority packet scheduling scheme for wireless networks

ijdpsjournal

Refining the Estimation of the Available Bandwidth in Inter-Cloud Links for T...

Thiago Genez

G018214246

IOSR Journals

Nodes in ad hoc networks have limited battery power. Hence they require energy-efficient technique to improve average network performance. Maintaining energy-efficiency in ad hoc networks is really challenging because highest energyefficiency is achieved if all the nodes are always switched off and energy-efficiency will be minimum if all the nodes are fully operational i.e. always turned-on. Energy preservation requires redirection of data packets through some other routes having good performance. This improves data packet delivery ratio and number of alive nodes decreasing cost of messages.

Fuzzy Route Switching for Energy Preservation(FEP) in Ad Hoc Networks

A. Sufian

International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education. International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.

Optimal Converge cast Methods for Tree- Based WSNs

IJMER

Compressive Data Gathering using NACS in Wireless Sensor Network

IRJET Journal

Hybrid networking and distribution

vivek pratap singh

Cell load KPIs in support of event triggered Cellular Yield Maximization

Asoka Korale

In the Wireless Sensor Network (WSN), sensor nodes are connected together through radio frequency (RF).Routing protocol is used to transmit data among sensor nodes. In the paper, we proposed a new routing protocol based on LEACH protocol. This is energy-efficient clustering algorithm. The proposed protocol enlarges WSN life-time by considering remaining energy and distance from nodes to BS in the election of cluster head. Comparing the result simulation between LEACH and proposed protocol showed that proposed protocol will prolong the network life-time.

A PROPOSAL FOR IMPROVE THE LIFETIME OF WIRELESS SENSOR NETWORK

IJCNCJournal

The pervasive application of wireless sensor networks (WNSs) is challenged by the scarce energy constraints of sensor nodes. En-route filtering schemes, especially commutative cipher based en-route filtering (CCEF) can saves energy with better filtering capacity. However, this approach suffer from fixed paths and inefficient underlying routing designed for ad-hoc networks. Moreover, with decrease in remaining sensor nodes, the probability of network partition increases. In this paper, we propose energy-efficient routing and re-clustering algorithm (ERCA) to address these limitations. In proposed scheme with reduction in the number of sensor nodes to certain thresh-hold the cluster size and transmission range dynamically maintain cluster node-density. Performance results show that our approach demonstrate filtering-power, better energy-efficiency, and an average gain over 285% in network lifetime.

Erca energy efficient routing and reclustering

aciijournal

Was ist angesagt? (20)

Efficient and Optimal Routing Scheme for Wireless Sensor Networks

THRESHOLD SENSITIVE HETEROGENOUS ROUTING PROTOCOL FOR BETTER ENERGY UTILIZATI...

D031202018023

Prolong Lifetime Analysis and Efficient Utilization of Energy in Heterogeneou...

Wireless Sensor Network over High Altitude Platform

Aug17presentation.v2 2009-aug09-lblc sseminar

Information Density Estimation in Wireless Ad Hoc Networks Based on Caching ...

i2ct_submission_105

COMPARISON OF ENERGY OPTIMIZATION CLUSTERING ALGORITHMS IN WIRELESS SENSOR NE...

Enchancing the Data Collection in Tree based Wireless Sensor Networks

Multilevel priority packet scheduling scheme for wireless networks

Refining the Estimation of the Available Bandwidth in Inter-Cloud Links for T...

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Fuzzy Route Switching for Energy Preservation(FEP) in Ad Hoc Networks

Optimal Converge cast Methods for Tree- Based WSNs

Compressive Data Gathering using NACS in Wireless Sensor Network

Hybrid networking and distribution

Cell load KPIs in support of event triggered Cellular Yield Maximization

A PROPOSAL FOR IMPROVE THE LIFETIME OF WIRELESS SENSOR NETWORK

Erca energy efficient routing and reclustering

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Channel quality

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In remote sensor arrange messages are exchanged between the different source and goal matches agreeably such way that multi-jump parcel transmission is utilized. These information bundles are exchanged from the middle of the road hub to sink hub by sending a parcel to goal hubs. Where each hub overhears transmission close neighbor hub. To dodge this we propose novel approach with proficient steering convention i.e. most brief way directing and conveyed hub steering calculation. Proposed work additionally concentrates on Automatic Repeat Request and Deterministic Network coding. We spread this work by the end to end message encoding instrument. To upgrade hub security match shrewd key era is utilized, in which combined conveying hub is allocated with combine key to making secure correspondence. End to end. We dissect both single and numerous hubs and look at basic ARQ and deterministic system coding as strategies for transmission.

Implementation on Data Security Approach in Dynamic Multi Hop Communication

IJCSIS Research Publications

Wireless Sensor Networks (WSNs) are usually defined as large-scale, ad-hoc, multi-hop and wireless unpartitioned networks of homogeneous, small, static nodes deployed in an area of interest. Applications of sensor networks include monitoring volcano activity, building structures or natural habitat monitoring. In this paper, we present the problem of processing probabilistic top-k queries in a distributed wireless sensor networks. The basic problem in top-k query processing is that, a single method cannot be used as a solution to the problem of top-k query processing because there are many types of top-k query processing. The method has to be based on the situation, the classification and the type of database and the query model. Here we develop three algorithms, namely, sufficient set-based (SSB), necessary set-based (NSB), and boundary-based (BB), for inter- cluster query processing with bounded rounds of communications. Moreover, in responding to dynamic changes of data distribution in the overall network, we develop an adaptive algorithm that dynamically switches among the three proposed algorithms to minimize the transmission cost.

An Efficient top- k Query Processing in Distributed Wireless Sensor Networks

IJMER

The basic idea of backpressure techniques is to prioritize transmissions over links that have the highest queue differentials. Backpressure method effectively makes packets flow through the network as though pulled by gravity towards the destination end, which has the smallest queue size of zero. Under high traffic conditions, this method works very well, and backpressure is able to fully utilize the available network resources in a highly dynamic fashion. Under low traffic conditions, however, because many other hosts may also have a small or zero queue size, there is inefficiency in terms of an increase in delay, as packets may loop or take a long time to make their way to the destination end. In this paper we use the concept of shadow queues. Each node has to maintain some counters, called as shadow queues, per destination. This is very similar to the idea of maintaining a routing table (for routing purpose) per destination. Using the concept of shadow queues, we partially decouple routing and the scheduling. A shadow network is maintained to update a probabilistic routing table that packets use upon arrival at a node. The same shadow network, with back-pressure technique, is used to activate transmissions between nodes. The routing algorithm is designed to minimize the average number of hops used by the packets in the network. This idea, along with the scheduling and routing decoupling, leads to delay reduction compared with the traditional back-pressure algorithm

An Adaptive Routing Algorithm for Communication Networks using Back Pressure...

IJMER

Power preservation in wireless ad hoc networks is a decisive factor as energy resources are inadequate at the electronic devices in use. Power-aware routing strategies are fundamentally route selection strategies built on accessible ad hoc routing protocols. This paper proposed a new Maximal Power Conserved And Energy Aware Routing (MPC-EAR ) topology for mobile ad hoc networks that enhances the network life span. Simulation results prove that the projected protocol has a higher performance other minimal energy usage, energy level aware and energy conserving routing protocols such as MTPR, MMECR and CMMECR.

MPC-EAR : Maximal Power Conserved And Energy Aware Routing in Ad hoc Networks

ijsrd.com

THRESHOLD SENSITIVE HETEROGENOUS ROUTING PROTOCOL FOR BETTER ENERGY UTILIZATI...

ijassn

Energy conservation is one of the important issues in communication protocol development for Wireless Sensor Networks (WSNs). WSNs are a shared medium system, consequently a Medium Access Control (MAC) protocol is required to resolve contention. The feature of the MAC together with the application behavior determines the communication states which have different power requirements. The power level used for a transmission, will affect both the effective range of the transmission and the energy used. The Power & Reliability Aware Protocol (PoRAP) has been developed to provide efficient communication by means of energy conservation without sacrificing reliability. It is compared to Carrier Sense Multiple Access (CSMA), Sensor-MAC (S-MAC) and Berkeley-MAC (B-MAC) in terms of energy consumption. The analysis begins with a parameter space study to discover which attributes affect the energy conservation performance. Parameter settings in the Great Duck Island are used for comparative study. According to the results, PoRAP consumes the least amount of communication energy and it is applicable when the percentage of slot usage is high.

Parameter space and comparative analyses of energy aware sensor communication...

csandit

I04503075078

ijceronline

With the rapid growth of wireless communication infras,,tructure over the recent few years, new challenges has been posed on the system and analysis on wireless adhoc networking. Implementation of MIMO communication in such type of network is enhancing the packet transmission capabilities. There are different techniques for cooperative transmission and broadcasting packet in MIMO equipped Mobile Adhoc Network. We have employed a model network in the OPNET environment and propose a new scheduling algorithm based on investigating the different broadcasting algorithm. The new broadcasting algorithm improves the packet transmission rate of the network based on energy performance of the network and minimizes the BER for different transmission mode which is illustrated in this paper. The simulations are done in MATLAB and OPNET environment and the simulated result for the packet transmission rate are collected and shown in the tabular form. Also simulate the network for generating a comparative statement for each mobile node. And performance analysis is also done for the model network. The main focus is to minimize BER and improve information efficiency of the network.

IMPLEMENTING PACKET BROADCASTING ALGORITHM OF MIMO BASED MOBILE AD-HOC NETWOR...

IJNSA Journal

Implementing packet broadcasting algorithm of mimo based mobile ad hoc networ...

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Recently, numerous approaches have been proposed for designing medium access control (MAC) in underwater acoustic networks (UANs). Some of those works tried to adapt MAC protocols proposed for terrestrial networks. However, unique environmental characteristics of UANs make the MAC protocols hard to be used in the UANs and degrade network performance. In order to improve network performance, COD-TS MAC protocol was proposed. COD-TS focuses on both single hop and multi-hop mode and utilizes CDMA for exchanging schedule information between cluster heads. COD-TS has shortcomings such as collisions, additional energy consumption by exchanging schedule information and near-far effect of CDMA. To overcome above shortcomings, we propose a clustering-based time slot assignment protocol. In the proposed protocol, nodes are clustered, and each cluster head performs two-hop neighbor cluster discovery operation. And then, a cluster head obtains its own relative position information. Finally, the cluster head assigns its own time slot for data transmission based on the information. Simulation results show that the proposed protocol has always better performance compared to the COD-TS.

Clustering based Time Slot Assignment Protocol for Improving Performance in U...

journal ijrtem

Clustering based Time Slot Assignment Protocol for Improving Performance in U...

IJRTEMJOURNAL

E017422935

IOSR Journals

In heterogeneous sensor networks, certain nodes become cluster heads which aggregate the data of their cluster nodes and transfer it to the sink. An Improved Energy leach protocol for cluster head selection in a hierarchically clustered heterogeneous network to reorganize the network topology efficiently is proposed in this research work. The proposed algorithm will use thresholding to improve the cluster head selection. The presented algorithm considers the sensor nodes in wireless network and randomly distributed in the heterogeneous network. The coordinates of the sink and the dimensions of the sensor field are known in prior.

Based on Heterogeneity and Electing Probability of Nodes Improvement in LEACH

ijsrd.com

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ijceronline

Today, the Wireless Sensor Network is increasingly gaining popularity and importance. It is the more interesting and stimulating area of research. Now, the WSN is applied in object tracking and environmental monitoring applications. This paper presents the self-optimized model of multipath routing algorithm for WSN which considers definite parameters like delay, throughput level and loss and generates the outcomes that maximizes data throughput rate and minimizes delay and loss. This algorithm is based on ANT optimization technique that will bring out an optimal and organized route for WSN and is also to avoid congestion in WSN, the algorithm incorporate multipath capability..

An efficient ant optimized multipath routing in wireless sensor network

Editor Jacotech

One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers reduces the energy consumption and increases the throughput of the wireless sensor networks.

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