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Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of
     Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1725-1731
Performance Evaluation Of Routing Protocols In Vanets By Using
            Tcp Variants On Omnet++ Simulator
Reetika Singla#1, Sukhwinder Sharma#, Gurpreet Singh#2, Ravinder kaur*3
                      #
                          Department of CSE & IT, BBSBEC, Fatehgarh Sahib, Punjab, India
                                *Department of CSE Punjabi University Patiala, India


ABSTACT
Vehicular Ad-Hoc network is a type of Mobile               concerned with vehicles (such as cars, vans, trucks,
ad-hoc Networks, vanet help in developing                  etc). Mobile ad hoc networks (MANETs) are a type
communication between near vehicles and                    of wireless network that does not require any
between vehicles and roadside equipment. The               complicated infrastructure. MANETs are attractive
paper aims to investigate the performance of the           for situations where communication is required, but
routing protocol in vanet by using tcp variants            deploying a complicated infrastructure is impossible.
that is tcp reno, tcp new reno and tcp tahoe.In the        But in case of VANET technology each moving cars
performance evaluation two different routing               is consider as nodes in a network to create a mobile
protocols On-Demand Distance Vector (AODV)                 network with a wide range in which cars fall out of
and Optimized Link State Routing (OLSR) have               the signal range and drop out of the network, other
been considered with three different TCP                   cars can join in, connecting vehicles to one another
variants. Delay and Throughput are the two                 so that a Mobile Internet is created. And this
parameters that are consider to grade the routing          technology will also integrated with police so that
protocol.. Conclusions are drawn based on the              fire vehicles can communicate with police for safety
evaluation results using OMNET++ and SUMO                  purpose.. Other purposes include essential alerts and
simulator. The results clearly show that the both          accessing comforts and entertainment used. VANET
AODV        and     OLSR     achieve     acceptable        bring new challenges to design an efficient routing
performance. However, the merits of AODV over              protocol for routing data among vehicles, called V2V
OLSR or vice versa depend on the network                   or vehicle to vehicle communication. And in this
environment such as TCP variant used, traffic              context, we evaluate the performance of routing
load, number of nodes with the required                    protocol with tcp variants (TCP reno, TCP new reno,
parameter in the evaluation delay or the                   TCP tahoe) by using omnet++ (network simulator)
throughput. The results clearly show that                  and sumo (traffic simulator) on basis of parameter
selecting best protocol is depend upon network             throughput and delay.
condition because olsr protocol achieve better
performance compare to aodv protocol from the              2. PROBLEM DEFINATION
throughput point of view and matter is different                    As Vehicular Ad-Hoc network or VANET
in case of delay.                                          is a technology that uses moving cars as nodes in a
                                                           network to create a mobile network. VANET turns
Keywords— Ad-hoc Networks, TCP variants,                   every participating car into a wireless router or node.
routing Protocols, AODV, OLSR                              So the main issue with VANET is due to the
                                                           frequently changing topology. As the topology
1. INTRODUCTION                                            changes frequently, because of high mobility of
         VANETs are kind or subset of manet that           vehicles, so there is no fixed infrastructure and nodes
provide vehicle to vehicle (V2V) and vehicle to            changes their locations. Due to this, disruption is
roadside wireless communications, this means that          occurred between the nodes. So opportunistic routing
every node means vehicle in the network can move           model performance must be evaluated on the basis of
freely within n/w and stay connected with each             throughput and delay. So in this we evaluate the
other that means every nodes can communicate with          performance of routing protocol(AODV and
each other in network to avoid accidents etc. for this     OLSR)with respect to TCP variants by developing
each      Vehicles are equipped with wireless              coupling between omnet++ (network simulator) and
transceivers and computerized control modules are          sumo (traffic simulator) by using trace as a interface.
used that are essential for cooperative driving among
communicating vehicles. Vehicles function as               2.1 TCP variants
communication nodes and relays, forming dynamic                      TCP is transport layer is the reliable
networks with other near-by vehicles on the road and       connection orientated protocol that provides reliable
highways. While Mobile ad hoc Networks                     transfer of data between the nodes. It ensures that the
(MANETs) are mainly linked with mobile laptops or          data is reached the destination correctly without any
wireless handheld devices, whereas VANET is                loss or damage. The data is transmitted in the form of



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Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of
     Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1725-1731
continuous stream of octets. The reliable transfer of       of fast recovery. TCP Reno improves the TCP Tahoe
octets is achieved through the use of a sequence            performance for the single packet loss within a
number to each octet. Another aspect of TCP is the          window of data except multiple packet losses case
tree way handshakes mechanism to establish a                within a window data. Reno requires that we receive
connection between the nodes. Furthermore, TCP              immediate acknowledgement whenever a segment is
uses the port assignment as an addressing mechanism         received. The logic behind this is that whenever we
to differentiate each connection for the cases of more      receive a duplicate acknowledgment, then his
TCP connection between nodes are required. After            duplicate acknowledgment could have been received
the introduction of first version of TCP several            if the next segment in sequence expected, has been
different TCP variants exist. The most famous               delayed in the network and the segments reached
implementation of TCP called Tahoe, Reno and                there out of order or else that the packet is lost. If we
New-Reno.                                                   receive a number of duplicate acknowledgements
                                                            then that means that sufficient time has passed and
2.1.1 TCP Tahoe                                             even if the segment had taken a longer path, it should
          TCP Tahoe was released in 1998.                   have gotten to the receiver by now. There is a very
Congestion control plays an important role in flow          high probability that it was lost. So Reno suggests an
control objective in transport layer protocol TCP. .        algorithm called „Fast Re- Transmit’.
TCP Tahoe (1989) release has the following features:
slow start, congestion avoidance and fast retransmit.       2.1.3 TCP New-Reno
The idea of TCP Tahoe is to start the congestion                      TCP New-Reno is a modification of the
window at the size of a single segment and send it          TCP Reno through the use of retransmission process.
when a connection is established. If the                    This is occurred in the fast recovery phase of the TCP
acknowledgement arrives before the retransmission           Reno. In the improvement, TCP New Reno can
timer expires, add one segment to the congestion            detect multiple packet losses. Furthermore, through
window. This is a multiplicative increase algorithm         the period the fast recovery, all unacknowledged
and the window size increases exponentially. The            segments received and the fast recovery phase is
window continues to increase exponentially until it         terminated. Having achieved this modification,
reaches the threshold that has been set. This is the        several reductions in the congestion window size will
Slow Start Phase. Once the congestion window                be avoided in the cases of multiple packet losses
reaches the threshold, TCP slows down and the               occurrence. Furthermore, the congestion window
congestion avoidance algorithm takes over. Instead          size is set up to slow start threshold the congestion
of adding a new segment to the congestion window            avoidance phase will be resumed and next segment
every time an acknowledgement arrives, TCP                  will be retransmitted when partial acknowledgment
increases the congestion window by one segment for          is received . It is worth to mention that, in partial
each round trip time. This is an additive increase          acknowledgments, all outstanding packets at the
algorithm. To estimate a round trip time, the TCP           onset of the fast recovery are generated.
codes use the time to send and receive
acknowledgements for the data in one window. TCP            2.2. ROUTING PROTOCOLS
does not wait for an entire window of data to be sent       2.2.1 Ad Hoc On-demand Distance Vector
and acknowledged before increasing the congestion           (AODV)
window. Instead, it adds a small increment to the                     AODV is a reactive routing protocol that is
congestion window each time an acknowledgement              basically designed to reduce the traffic messages via
arrives. The small increment is chosen to make the          maintaining information for active routes only. This
increase averages approximately one segment over            has been achieved at the cost of increased latency to
an entire window. When a segment loss is detected           find the new routes. In AODV routes are determined
through timeouts, there is a strong indication of           and maintained for nodes that require sending data to
congestion in the network. The slow start threshold is      a particular destination. In AODV, source routed
set to one-half of the current window size. Moreover,       on-demand protocol; each data packets carry the
the congestion window is set to 1 segment, which            complete source to destination address. Furthermore,
forces slow start.                                          each intermediate node forwards the packets
                                                            according to the information kept in the packet
2.1.2 TCP RENO                                              header. This will avoid the storage and update of
          This Reno retains the basic principle of          routing information for each active route and
Tahoe, such as slow starts and the coarse grain             avoiding the forwarding of packet towards the
re-transmit timer. However it adds some intelligence        destination. AODV is based on Dynamic Source
over it so that lost packets are detected earlier and the   Routing DSR algorithm and each packet carry the
pipeline is not emptied every time a packet is lost.        full address from source to the destination. Thus, it
The TCP Reno can be considered as an enhancement            can be said that AODV is table based with all the
of the TCP Tahoe. In the enhancement fast retransmit        information about the routes in the network is stored
procedure has been enhanced through the inclusion           in this table. The routing table has the following



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Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of
     Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1725-1731
entries i.e. DSN, flag, next hop, IP address, State, hop   may be received from symmetric neighbour. OLSR is
count, the list of precursors, Life time and network       one of a type of link state algorithm with proactive
interface. Furthermore, nodes do not need to               routing protocol optimized for mobile ad hoc
maintain neighbour connectivity through periodic           networks. It has an advantage of having routes
beaconing messages. The major benefit of this type         available when needed due to its proactive nature.
of reactive routing is that routes are adaptable to the    The Multipoint Relay (MPR) can be used to
dynamically changing environment such as                   retransmit control messages with the aid of selected
MANETs. This is because AODV is based on                   nodes. This will reduce the overhead in the OLSR
Dynamic Source Routing DSR algorithm and each              and the number of retransmissions in the flooding.
packet carries the full address from source to the         Other feature of OLSR, shortest path routes is
destination. This suggest that AODV has an                 computed using partial link state provided. The
advantages since each node can update its routing          reactivity in to topology change can be optimized in
table when they receive fresher topology information       OLSR via maximum time interval for periodic
and hence forward the data packets through the new         control message transmission reduction. It is worth to
and better routes. However, the performance in large       mention about the good features of OLSR that the
networks is bad. This is because the number of             protocol is performing very well with heavy and
intermediate nodes in each route grows and the raise       dense network. This is because OLSR routes to all
of the probability of route failure. AODV uses the         destinations in the network are continuously
periodic beaconing and sequence numbering                  maintained. Furthermore, overhead and complexity
procedure of Dynamic Source Distance Vector                in OLSR have been reduced since there is no need for
DSDV and a similar route discovery procedure as in         sequenced transmission of messages.
DSR.
                                                           3. SIMULATION ENVIRONMENT AND
2.2.2 Optimized Link State Routing protocol                RESULT ANALYYSIS
(OLSR)                                                     In simulation there are three type of different
          OLSR uses flooding techinque that diffuses       scenarios based on the number of nodes. In the
topology information throughout the network. This          investigation a comparison between two routing
makes all nodes in the network to retransmit received      protocols AODV and OLSR with different types of
packets. However, this may lead to loop. So this can       TCP variants Reno, New-Reno and the Tahoe based
be avoided by using a sequence number technique.           on ad-hoc wireless networks of 20, 60 and 100 nodes
The sequence number guarantee that the packet is not       . The investigation involves the measurement of
transmitted more than once time. Furthermore, the          delay and throughput of the network in each of the
sequence number must registered by receiving nodes         above cases. Finally, the results achieved for each
to achieve the reliable transmission. However, the         case of routing algorithm with different TCP variant,
packet will not transmitted when the node receives a       number of nodes in the networks will be assessed.
packet with a sequence number lower or equal to the        Table 1 shows a summary for the scenarios’
last registered retransmitted packet from the sender.      considered in the investigation. To keep clear
With multi-hop network, nodes may retransmit               analysis, each scenario has been considered
packets on the same interface that it arrived. This is     separately.
because of condition and properties of wireless
multi-hop networks. However, duplicated packet
Types of Scenario                                          Description
Scenario 1 (Small Size Network)                             In Scenario 1 a network environment designed with
                                                           different entities, configured for a network size of 20
                                                           nodes, Thereafter, different VANET routing protocols
                                                           and TCP variants are employed in the network and their
                                                           performance is evaluated for the small-sized network (i.e.
                                                           node size = 20), based on the analysis of the performance
                                                           metrics.
Scenario 2 (Medium Size Network)                           Scenario 2 represents a medium-sized network where the
                                                           network model is designed with 60 nodes. The intention
                                                           is to observe the performance of the routing protocols and
                                                           the TCP variants through varying the node sizes from 20
                                                           to 60.
Scenario 3 (Large Size Network)                            This network scenario (Scenario 3) is similar to that of
                                                           Scenario 1 and Scenario 2, except that the network size is
                                                           increased to 100 nodes, so as to observe the impact of
                                                           scalability in VANET.

Table1. Summarization of scenario


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Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of
                 Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                                Vol. 2, Issue 5, September- October 2012, pp.1725-1731
            3.1Throughput                                                     1200
                     In this paper, AODV and OLSR protocols
            are simulated with different routing TCP variants                 1000
            such as TCPNEW RENO, TCPRENO, TCPTAHOE
                                                                              800
            for the different number of mobile nodes and
                                                                                                                              reno
            networks sizes. We measured the throughput of every               600
                                                                                                                              new reno
            scenario. Following tables and graphs are showing
                                                                                                                              tahoe
            the average throughput performance for AODV and                   400

            OLSR with TCP-Reno, TCP-NEW RENO and
                                                                              200
            TCP-TAHAO.
                                                                                0
Throughput (bits/sec)                                                                       AODV                       OLSR

Protoco     TCP                 20        60           100
ls          VARIANTS            NODES     NODES        NOD           Fig3   AODV-OLSR-20          nodes-Throughput
                                                       ES            Performance vs. TCP Variants
AODV        TCP RENO            1000      840          780
                                                                       1400
OLSR        TCP RENO            1020      1140         1090
                                                                       1200
AODV        TCP    NEW          1000      970          780
            RENO                                                       1000
OLSR        TCP    NEW          1050      1180         1090             800
                                                                                                                               reno
            RENO
                                                                        600                                                    new reno
AODV        TCP TAHOE           1000      980          780
                                                                                                                               tahoe
OLSR        TCP TAHOE           1060      1180         1180             400

                                                                        200

            Based on these readings we prepared following                 0
            performance comparison graphs for throughput                             AODV                  OLSR
            performance:

   1200                                                              Fig4   AODV-OLSR-100         nodes-Throughput
                                                                     Performance vs. TCP Variants
   1000

                                                                              From above results is cleared that with TCP
    800
                                                                     tahoe the AODV achieve better throughput for small
                                                       reno
    600                                                              size network, whereas OLSR achieve better
                                                       new reno
                                                                     throughput as network size increases. with TCP
    400                                                tahoe         RENO the AODV achieve better throughput for
    200
                                                                     small sized network, whereas OLSR achieve better
                                                                     throughput as network size increases Whereas with
        0                                                            TCP NEW RENO, aodv achieve better throughput
                20          60           100                         for small sized network and OLSR achieve better
                                                                     throughput as network size increases.
            Fig 1 AODV-Throughput              Performance     vs.
            Network Scenario
                                                                              3.2 Delay
 1400
                                                                     This one more performance metrics which we
                                                                     calculated here for all the routing protocol with the
 1200
                                                                     different tcp variants and with different network
 1000
                                                                     scenarios. Following table shows the average end to
  800
                                                       reno          end delay for this cases which will explain the
  600                                                  new reno      performance effects of TCP variants with AODV and
  400
                                                       tahoe         DSDV network routing protocols:
  200

    0
              20           60           100




            Fig 2 OLSR-Throughput              Performance     vs.
            Network Scenario




                                                                                                         1728 | P a g e
Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of
                  Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                                 Vol. 2, Issue 5, September- October 2012, pp.1725-1731
Protocol     TCP            20               60       100        vs. TCP Variants
s            VARIANTS       NODES            NODES    NODES         0.04
AODV         TCP RENO       0.0052           0.010    0.002
                                                                   0.035
OLSR         TCP RENO       0.0043           0.007    0.002
                                                                    0.03
AODV         TCP    NEW     0.0053           0.015    0.005        0.025
             RENO                                                                                                       reno
OLSR         TCP    NEW     0.0043           0.020    0.002         0.02
                                                                                                                        new reno
             RENO                                                  0.015
                                                                                                                        tahoe
AODV         TCP TAHOE      0.0052           0.012    0.002
                                                                    0.01
OLSR         TCP TAHOE      0.0029           0.002    0.002
                                                                   0.005

                                                                         0
             Based on these readings we prepared following
                                                                                   AODV               OLSR
             performance comparison graphs for delay
             performance:
  0.016                                                          Fig8 AODV-OLSR-100 nodes-Delay Performance
  0.014                                                          vs. TCP Variants
  0.012
                                                                          From above result it is clear that with TCP
   0.01
                                                                 tahoe OLSR shows more delay as the no of nodes
                                                      reno
  0.008                                                          increases means OLSR have very less delay for small
                                                      new reno
  0.006                                                          scale network whereas as the network size increases
                                                      tahoe
                                                                 AODV become less delay as compare to OLSR with
  0.004
                                                                 TCP RENO the OLSR have less delay for small scale
  0.002                                                          network whereas AODV become less delay as
         0                                                       network size increase, with NEW RENO the OLSR
              20           60                 100                have less delay for small scale network, whereas as
                                                                 network size increases AODV become less delay
             Fig.5AODV-Delay Performance vs. Network
                                                                 compare to OLSR.
             scenario

 0.025
                                                                 4. CONCLUSION AND FUTURE WORK
                                                                           So from above investigation the OLSR
  0.02                                                           routing protocol achieve better performance compare
                                                                 to the AODV protocol from the throughput point of
 0.015                                                           view in vanet but the matter or case is quite
                                                     reno
                                                                 different when considering the delay as a
                                                     new reno
  0.01                                                           performance parameter. So selection or choice of
                                                     tahoe
                                                                 routing protocol is completely depend upon the
 0.005
                                                                 network conditions. And in future work As I have
                                                                 selected these numerous routing protocol of interest
         0
              20          60                100
                                                                 by simulation in an OMNET++ tool, another
                                                                 possibility of doing the same work can be done
             Fig6 OLSR-Delay Performance vs. Network             through another tool like NS-3, Qualnet. Also,
             scenario                                            selection of other routing protocol and tcp variants
                                                                 can be use for the performance evaluation or other
 0.006                                                           parameters of performance could be considered for
                                                                 simulation.
 0.005

 0.004                                                           5. REFERANCES
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Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of
     Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                    Vol. 2, Issue 5, September- October 2012, pp.1725-1731
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Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of
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        of the whole world,” Jan. 2011. [Online].
        Available: http://www.openstreetmap.org.
 [33]   OMNeT++,                          Available:
        http://www.omnetpp.org.
 [34]
        Wikipedia.“VehicularAdhocNetworks,”en.
        wikipedia.org/wiki/Vehicular_ad-hoc_netw
        ork.




                                                                              1731 | P a g e

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Jt2517251731

  • 1. Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1725-1731 Performance Evaluation Of Routing Protocols In Vanets By Using Tcp Variants On Omnet++ Simulator Reetika Singla#1, Sukhwinder Sharma#, Gurpreet Singh#2, Ravinder kaur*3 # Department of CSE & IT, BBSBEC, Fatehgarh Sahib, Punjab, India *Department of CSE Punjabi University Patiala, India ABSTACT Vehicular Ad-Hoc network is a type of Mobile concerned with vehicles (such as cars, vans, trucks, ad-hoc Networks, vanet help in developing etc). Mobile ad hoc networks (MANETs) are a type communication between near vehicles and of wireless network that does not require any between vehicles and roadside equipment. The complicated infrastructure. MANETs are attractive paper aims to investigate the performance of the for situations where communication is required, but routing protocol in vanet by using tcp variants deploying a complicated infrastructure is impossible. that is tcp reno, tcp new reno and tcp tahoe.In the But in case of VANET technology each moving cars performance evaluation two different routing is consider as nodes in a network to create a mobile protocols On-Demand Distance Vector (AODV) network with a wide range in which cars fall out of and Optimized Link State Routing (OLSR) have the signal range and drop out of the network, other been considered with three different TCP cars can join in, connecting vehicles to one another variants. Delay and Throughput are the two so that a Mobile Internet is created. And this parameters that are consider to grade the routing technology will also integrated with police so that protocol.. Conclusions are drawn based on the fire vehicles can communicate with police for safety evaluation results using OMNET++ and SUMO purpose.. Other purposes include essential alerts and simulator. The results clearly show that the both accessing comforts and entertainment used. VANET AODV and OLSR achieve acceptable bring new challenges to design an efficient routing performance. However, the merits of AODV over protocol for routing data among vehicles, called V2V OLSR or vice versa depend on the network or vehicle to vehicle communication. And in this environment such as TCP variant used, traffic context, we evaluate the performance of routing load, number of nodes with the required protocol with tcp variants (TCP reno, TCP new reno, parameter in the evaluation delay or the TCP tahoe) by using omnet++ (network simulator) throughput. The results clearly show that and sumo (traffic simulator) on basis of parameter selecting best protocol is depend upon network throughput and delay. condition because olsr protocol achieve better performance compare to aodv protocol from the 2. PROBLEM DEFINATION throughput point of view and matter is different As Vehicular Ad-Hoc network or VANET in case of delay. is a technology that uses moving cars as nodes in a network to create a mobile network. VANET turns Keywords— Ad-hoc Networks, TCP variants, every participating car into a wireless router or node. routing Protocols, AODV, OLSR So the main issue with VANET is due to the frequently changing topology. As the topology 1. INTRODUCTION changes frequently, because of high mobility of VANETs are kind or subset of manet that vehicles, so there is no fixed infrastructure and nodes provide vehicle to vehicle (V2V) and vehicle to changes their locations. Due to this, disruption is roadside wireless communications, this means that occurred between the nodes. So opportunistic routing every node means vehicle in the network can move model performance must be evaluated on the basis of freely within n/w and stay connected with each throughput and delay. So in this we evaluate the other that means every nodes can communicate with performance of routing protocol(AODV and each other in network to avoid accidents etc. for this OLSR)with respect to TCP variants by developing each Vehicles are equipped with wireless coupling between omnet++ (network simulator) and transceivers and computerized control modules are sumo (traffic simulator) by using trace as a interface. used that are essential for cooperative driving among communicating vehicles. Vehicles function as 2.1 TCP variants communication nodes and relays, forming dynamic TCP is transport layer is the reliable networks with other near-by vehicles on the road and connection orientated protocol that provides reliable highways. While Mobile ad hoc Networks transfer of data between the nodes. It ensures that the (MANETs) are mainly linked with mobile laptops or data is reached the destination correctly without any wireless handheld devices, whereas VANET is loss or damage. The data is transmitted in the form of 1725 | P a g e
  • 2. Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1725-1731 continuous stream of octets. The reliable transfer of of fast recovery. TCP Reno improves the TCP Tahoe octets is achieved through the use of a sequence performance for the single packet loss within a number to each octet. Another aspect of TCP is the window of data except multiple packet losses case tree way handshakes mechanism to establish a within a window data. Reno requires that we receive connection between the nodes. Furthermore, TCP immediate acknowledgement whenever a segment is uses the port assignment as an addressing mechanism received. The logic behind this is that whenever we to differentiate each connection for the cases of more receive a duplicate acknowledgment, then his TCP connection between nodes are required. After duplicate acknowledgment could have been received the introduction of first version of TCP several if the next segment in sequence expected, has been different TCP variants exist. The most famous delayed in the network and the segments reached implementation of TCP called Tahoe, Reno and there out of order or else that the packet is lost. If we New-Reno. receive a number of duplicate acknowledgements then that means that sufficient time has passed and 2.1.1 TCP Tahoe even if the segment had taken a longer path, it should TCP Tahoe was released in 1998. have gotten to the receiver by now. There is a very Congestion control plays an important role in flow high probability that it was lost. So Reno suggests an control objective in transport layer protocol TCP. . algorithm called „Fast Re- Transmit’. TCP Tahoe (1989) release has the following features: slow start, congestion avoidance and fast retransmit. 2.1.3 TCP New-Reno The idea of TCP Tahoe is to start the congestion TCP New-Reno is a modification of the window at the size of a single segment and send it TCP Reno through the use of retransmission process. when a connection is established. If the This is occurred in the fast recovery phase of the TCP acknowledgement arrives before the retransmission Reno. In the improvement, TCP New Reno can timer expires, add one segment to the congestion detect multiple packet losses. Furthermore, through window. This is a multiplicative increase algorithm the period the fast recovery, all unacknowledged and the window size increases exponentially. The segments received and the fast recovery phase is window continues to increase exponentially until it terminated. Having achieved this modification, reaches the threshold that has been set. This is the several reductions in the congestion window size will Slow Start Phase. Once the congestion window be avoided in the cases of multiple packet losses reaches the threshold, TCP slows down and the occurrence. Furthermore, the congestion window congestion avoidance algorithm takes over. Instead size is set up to slow start threshold the congestion of adding a new segment to the congestion window avoidance phase will be resumed and next segment every time an acknowledgement arrives, TCP will be retransmitted when partial acknowledgment increases the congestion window by one segment for is received . It is worth to mention that, in partial each round trip time. This is an additive increase acknowledgments, all outstanding packets at the algorithm. To estimate a round trip time, the TCP onset of the fast recovery are generated. codes use the time to send and receive acknowledgements for the data in one window. TCP 2.2. ROUTING PROTOCOLS does not wait for an entire window of data to be sent 2.2.1 Ad Hoc On-demand Distance Vector and acknowledged before increasing the congestion (AODV) window. Instead, it adds a small increment to the AODV is a reactive routing protocol that is congestion window each time an acknowledgement basically designed to reduce the traffic messages via arrives. The small increment is chosen to make the maintaining information for active routes only. This increase averages approximately one segment over has been achieved at the cost of increased latency to an entire window. When a segment loss is detected find the new routes. In AODV routes are determined through timeouts, there is a strong indication of and maintained for nodes that require sending data to congestion in the network. The slow start threshold is a particular destination. In AODV, source routed set to one-half of the current window size. Moreover, on-demand protocol; each data packets carry the the congestion window is set to 1 segment, which complete source to destination address. Furthermore, forces slow start. each intermediate node forwards the packets according to the information kept in the packet 2.1.2 TCP RENO header. This will avoid the storage and update of This Reno retains the basic principle of routing information for each active route and Tahoe, such as slow starts and the coarse grain avoiding the forwarding of packet towards the re-transmit timer. However it adds some intelligence destination. AODV is based on Dynamic Source over it so that lost packets are detected earlier and the Routing DSR algorithm and each packet carry the pipeline is not emptied every time a packet is lost. full address from source to the destination. Thus, it The TCP Reno can be considered as an enhancement can be said that AODV is table based with all the of the TCP Tahoe. In the enhancement fast retransmit information about the routes in the network is stored procedure has been enhanced through the inclusion in this table. The routing table has the following 1726 | P a g e
  • 3. Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1725-1731 entries i.e. DSN, flag, next hop, IP address, State, hop may be received from symmetric neighbour. OLSR is count, the list of precursors, Life time and network one of a type of link state algorithm with proactive interface. Furthermore, nodes do not need to routing protocol optimized for mobile ad hoc maintain neighbour connectivity through periodic networks. It has an advantage of having routes beaconing messages. The major benefit of this type available when needed due to its proactive nature. of reactive routing is that routes are adaptable to the The Multipoint Relay (MPR) can be used to dynamically changing environment such as retransmit control messages with the aid of selected MANETs. This is because AODV is based on nodes. This will reduce the overhead in the OLSR Dynamic Source Routing DSR algorithm and each and the number of retransmissions in the flooding. packet carries the full address from source to the Other feature of OLSR, shortest path routes is destination. This suggest that AODV has an computed using partial link state provided. The advantages since each node can update its routing reactivity in to topology change can be optimized in table when they receive fresher topology information OLSR via maximum time interval for periodic and hence forward the data packets through the new control message transmission reduction. It is worth to and better routes. However, the performance in large mention about the good features of OLSR that the networks is bad. This is because the number of protocol is performing very well with heavy and intermediate nodes in each route grows and the raise dense network. This is because OLSR routes to all of the probability of route failure. AODV uses the destinations in the network are continuously periodic beaconing and sequence numbering maintained. Furthermore, overhead and complexity procedure of Dynamic Source Distance Vector in OLSR have been reduced since there is no need for DSDV and a similar route discovery procedure as in sequenced transmission of messages. DSR. 3. SIMULATION ENVIRONMENT AND 2.2.2 Optimized Link State Routing protocol RESULT ANALYYSIS (OLSR) In simulation there are three type of different OLSR uses flooding techinque that diffuses scenarios based on the number of nodes. In the topology information throughout the network. This investigation a comparison between two routing makes all nodes in the network to retransmit received protocols AODV and OLSR with different types of packets. However, this may lead to loop. So this can TCP variants Reno, New-Reno and the Tahoe based be avoided by using a sequence number technique. on ad-hoc wireless networks of 20, 60 and 100 nodes The sequence number guarantee that the packet is not . The investigation involves the measurement of transmitted more than once time. Furthermore, the delay and throughput of the network in each of the sequence number must registered by receiving nodes above cases. Finally, the results achieved for each to achieve the reliable transmission. However, the case of routing algorithm with different TCP variant, packet will not transmitted when the node receives a number of nodes in the networks will be assessed. packet with a sequence number lower or equal to the Table 1 shows a summary for the scenarios’ last registered retransmitted packet from the sender. considered in the investigation. To keep clear With multi-hop network, nodes may retransmit analysis, each scenario has been considered packets on the same interface that it arrived. This is separately. because of condition and properties of wireless multi-hop networks. However, duplicated packet Types of Scenario Description Scenario 1 (Small Size Network) In Scenario 1 a network environment designed with different entities, configured for a network size of 20 nodes, Thereafter, different VANET routing protocols and TCP variants are employed in the network and their performance is evaluated for the small-sized network (i.e. node size = 20), based on the analysis of the performance metrics. Scenario 2 (Medium Size Network) Scenario 2 represents a medium-sized network where the network model is designed with 60 nodes. The intention is to observe the performance of the routing protocols and the TCP variants through varying the node sizes from 20 to 60. Scenario 3 (Large Size Network) This network scenario (Scenario 3) is similar to that of Scenario 1 and Scenario 2, except that the network size is increased to 100 nodes, so as to observe the impact of scalability in VANET. Table1. Summarization of scenario 1727 | P a g e
  • 4. Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1725-1731 3.1Throughput 1200 In this paper, AODV and OLSR protocols are simulated with different routing TCP variants 1000 such as TCPNEW RENO, TCPRENO, TCPTAHOE 800 for the different number of mobile nodes and reno networks sizes. We measured the throughput of every 600 new reno scenario. Following tables and graphs are showing tahoe the average throughput performance for AODV and 400 OLSR with TCP-Reno, TCP-NEW RENO and 200 TCP-TAHAO. 0 Throughput (bits/sec) AODV OLSR Protoco TCP 20 60 100 ls VARIANTS NODES NODES NOD Fig3 AODV-OLSR-20 nodes-Throughput ES Performance vs. TCP Variants AODV TCP RENO 1000 840 780 1400 OLSR TCP RENO 1020 1140 1090 1200 AODV TCP NEW 1000 970 780 RENO 1000 OLSR TCP NEW 1050 1180 1090 800 reno RENO 600 new reno AODV TCP TAHOE 1000 980 780 tahoe OLSR TCP TAHOE 1060 1180 1180 400 200 Based on these readings we prepared following 0 performance comparison graphs for throughput AODV OLSR performance: 1200 Fig4 AODV-OLSR-100 nodes-Throughput Performance vs. TCP Variants 1000 From above results is cleared that with TCP 800 tahoe the AODV achieve better throughput for small reno 600 size network, whereas OLSR achieve better new reno throughput as network size increases. with TCP 400 tahoe RENO the AODV achieve better throughput for 200 small sized network, whereas OLSR achieve better throughput as network size increases Whereas with 0 TCP NEW RENO, aodv achieve better throughput 20 60 100 for small sized network and OLSR achieve better throughput as network size increases. Fig 1 AODV-Throughput Performance vs. Network Scenario 3.2 Delay 1400 This one more performance metrics which we calculated here for all the routing protocol with the 1200 different tcp variants and with different network 1000 scenarios. Following table shows the average end to 800 reno end delay for this cases which will explain the 600 new reno performance effects of TCP variants with AODV and 400 tahoe DSDV network routing protocols: 200 0 20 60 100 Fig 2 OLSR-Throughput Performance vs. Network Scenario 1728 | P a g e
  • 5. Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1725-1731 Protocol TCP 20 60 100 vs. TCP Variants s VARIANTS NODES NODES NODES 0.04 AODV TCP RENO 0.0052 0.010 0.002 0.035 OLSR TCP RENO 0.0043 0.007 0.002 0.03 AODV TCP NEW 0.0053 0.015 0.005 0.025 RENO reno OLSR TCP NEW 0.0043 0.020 0.002 0.02 new reno RENO 0.015 tahoe AODV TCP TAHOE 0.0052 0.012 0.002 0.01 OLSR TCP TAHOE 0.0029 0.002 0.002 0.005 0 Based on these readings we prepared following AODV OLSR performance comparison graphs for delay performance: 0.016 Fig8 AODV-OLSR-100 nodes-Delay Performance 0.014 vs. TCP Variants 0.012 From above result it is clear that with TCP 0.01 tahoe OLSR shows more delay as the no of nodes reno 0.008 increases means OLSR have very less delay for small new reno 0.006 scale network whereas as the network size increases tahoe AODV become less delay as compare to OLSR with 0.004 TCP RENO the OLSR have less delay for small scale 0.002 network whereas AODV become less delay as 0 network size increase, with NEW RENO the OLSR 20 60 100 have less delay for small scale network, whereas as network size increases AODV become less delay Fig.5AODV-Delay Performance vs. Network compare to OLSR. scenario 0.025 4. CONCLUSION AND FUTURE WORK So from above investigation the OLSR 0.02 routing protocol achieve better performance compare to the AODV protocol from the throughput point of 0.015 view in vanet but the matter or case is quite reno different when considering the delay as a new reno 0.01 performance parameter. So selection or choice of tahoe routing protocol is completely depend upon the 0.005 network conditions. And in future work As I have selected these numerous routing protocol of interest 0 20 60 100 by simulation in an OMNET++ tool, another possibility of doing the same work can be done Fig6 OLSR-Delay Performance vs. Network through another tool like NS-3, Qualnet. Also, scenario selection of other routing protocol and tcp variants can be use for the performance evaluation or other 0.006 parameters of performance could be considered for simulation. 0.005 0.004 5. REFERANCES reno [1] A.K. Saha and D.B. Johnson, “Modeling 0.003 tahoe Mobility for Vehicular Ad-Hoc Networks,” 0.002 new reno Proc. First ACM Int’l Workshop Vehicular Ad Hoc Networks (VANET ’04), pp. 91-92, 0.001 Oct. 2004. [2] A.Mahajan et al , “Urban Mobility Models 0 for VANETs,” Proc. Second IEEE Int’l AODV OLSR Workshop Next Generation Wireless Networks (IEEE WoNGeN ’06), Dec. 2006. Fig7 AODV-OLSR-20 nodes-Delay Performance [3] A.Varga, “The OMNeT++ Discrete Event 1729 | P a g e
  • 6. Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1725-1731 Simulation System,” Proc. European [14] H. Lee, S. Lee, and Y. Choi, “The Simulation Multiconf. (ESM ’01), June influence of the large bandwidth-delay 2001. product on TCP Reno, New Reno, and [4] Ankur Lal and Dr.Sipy Dubey,"AODV, SACK,” in Proc. Information Networking DSDV Performance Analysis with TCP Conference, Oita, Japan, Feb. 2001, pp. Reno, TCP Vegas, and TCP-NJplus Agents 327–334. of Wireless Networks on Ns2,"Proc Volume [15] J.J. Blum, A. Eskandarian, and L.J. 2, international journal of advance research Hoffman, “Challenges of Intervehicle Ad in computer sciebce and software Hoc Networks,” IEEE Trans. Intelligent engineering, july 2012. Transportation Systems, vol. 5, no. 4, pp. [5] B. Bako et al,” Optimized Position Based 347-351, Dec. 2004. Gossiping in VANETs”, In Vehicular [16] Jaafari.A.M et al, ” A Simulator for Road Technology Conference, 2008. VTC Traffic and Inter-Vehicular 2008-Fall. IEEE 68th, pages 1_5, Sept. Communication”, Students at the College of 2008. Information Technology,UAE University, [6] C.Sommer et al, “Simulating the Influence UAE, 2006 of IVC on Road Traffic Using [17] J. Jakubiak and Y. Koucheryavy,” State Bidirectionally Coupled Simulators,” Proc. of the art and research challenges for IEEE INFOCOM: Mobile Networking for VANETs”, In Consumer Communications Vehicular Environments (MOVE ’08), Apr. and Networking Conference, 2008. CCNC 2008. 2008, pages 912_916, Jan. 2008. [7] C.Sommer and F. Dressler, “Progressing [18] L.Breslau et al, “Advances in Network Towards Realistic Mobility Models in Simulation,” Computer, vol. 33, no. 5, pp. VANET Simulations,” IEEE Comm. 59-67, May 2000. Magazine, vol. 46, no. 11, pp. 132-137, [19] Laxmi .S et al,” Performance Evaluation of Nov. 2008. TCP Tahoe, Reno, Reno with SACK, and [8] C.Sommer et al , “Simulation of Ad Hoc New Reno Using OPNET Modeler”, Simon Routing Protocols using OMNeT++,” Fraser University Vancouver, British Mobile Networks and Applications, pp. Columbia Canada,2004. 786–801, Jun. 2009. D.Li et al, “A [20] M. Killat et al, “Enabling Efficient Distance-Based Directional Broadcast Accurate Large-Scale Simulations of Protocol for Urban Vehicular Ad Hoc VANETs for Vehicular Traffic Network,” Proc. Int’l Conf. Wireless Management,” Proc. ACM MobiCom: Comm. Networking and Mobile Computing Fourth Int’l Workshop Vehicular Ad Hoc (WiCom ’07), pp. 1520-1523, Sept. 2007. Networks (VANET ’07), pp. 29-38, Sept. [9] D.Borman, R. Braden, and V. Jacobson, 2007. “TCP Extensions for High Performance,” [21] M. Piorkowski et al, “Joint Traffic and Request for Comments (Proposed Standard) Network Simulator for VANETs,” Proc. RFC 1323, Internet Engineering Task Mobile Information and Comm. Systems Force, May 1992. (Obsoletes RFC1185). (MICS ’06), Poster Session, Oct. 2006. [10] F. Anjum and L. Tassiulas, “Comparative [22] M. Mathis et al, “TCP selective study of various TCP versions over a acknowledgement options,” RFC 2018, Oct. wireless link with correlated losses,” 1996. IEEE/ACM Transactions on Networking, [23] R. Braden and V. Jacobson. “TCP vol. 11, no. 3, pp. 370–383, June 2003. extensions for long-delay paths,”. Request [11] H. Hartenstein and K.P. Laberteaux, “A for Comments (Experimental) RFC 1072, Tutorial Survey on Vehicular Ad Hoc Internet Engineering Task Force, October Networks,” IEEE Comm. Magazine, vol. 1988. 46, no. 6, pp. 164-171, June 2008. [24] R. Braden, V. Jacobson, and L. Zhang. [12] H. Fubler, M. Kasemann, and D. “TCP Extension for High-Speed Paths,”. Vollmer,”A comparison of strategies for Request for Comments (Experimental) RFC vehicular ad-hoc networks,” Dept. of Comp. 1185, Internet Engineering Task Force, Sc., Univ. of Mannheim, Tech. Rep. October 1990. (Obsoleted by RFC1323). TR-3-2002, 2002. [25] R. Paul and Lj. Trajkovic, [13] H.Balakrishnan et al, “A Comparison of “Selective-TCP for wired/wireless Mechanisms for Improving TCP networks,” in Proc. SPECTS 2006, Calgary, Performance over Wireless Links,” AL, Canada, Aug. 2006, pp. 339–346. SIGCOMM Symposium on [26] S. Fischer et al, “TRACI: An Interface for Communications Architectures and Coupling Road Traffic and Network Protocols, Aug. 1996. Simulators,” Proceedings of the 11th 1730 | P a g e
  • 7. Reetika Singla, Sukhwinder Sharma, Gurpreet Singh, Ravinder kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 5, September- October 2012, pp.1725-1731 Communications and Networking Simulation Symposium, pp. 155–163, 2008. [27] Siddeeq. Y. Ameen1 and Ibrahim. A. Ibrahimi,"MANET Routing Protocols Performance Evaluation with TCP Taho, Reno and New-Reno,"proceeding of International Journal of u- and e- Service, Science and Technology Vol. 4, No. 1, March 2011 [28] S. Floyd and K. Fall, “Simulation based comparisons of Tahoe, Reno, and SACK TCP,” ACM Computer Communication Review, vol. 26, no. 3, pp. 5–21, July 1996. [29] S. Floyd and T. Henderson, “The New Reno modification to TCP’s fast recovery algorithm,” RFC 2582, Apr. 1999. [30] T. Camp, J. Boleng, and V. Davies, “A Survey of Mobility Models for Ad Hoc Network Research,” Wireless Comm. and Mobile Computing, special issue on mobile ad hoc networking: research, trends and applications, vol. 2, no. 5, pp. 483-502, 2002. [31] “Simulation of urban mobility,” Jan. 2011. [Online]. Available: http://sumo.sourceforge.net/. [32] “Open street maps: free editable map of the whole world,” Jan. 2011. [Online]. Available: http://www.openstreetmap.org. [33] OMNeT++, Available: http://www.omnetpp.org. [34] Wikipedia.“VehicularAdhocNetworks,”en. wikipedia.org/wiki/Vehicular_ad-hoc_netw ork. 1731 | P a g e