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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459,ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014)

522

Performance Evaluation of AODV and DSR Routing Protocols

for Vehicular Ad-hoc Networks (VANETs)

Narendra Mohan Mittal

1

, Dr. Prem Chand Vashist

2

1

M-Tech. Student, 2Head of CSE Department & MVN University, Palwal, Haryana, India;

Abstract—Vehicular Ad Hoc Network (VANET) is a sub

class of Mobile Ad Hoc Networks (MANET). Vehicular Ad Hoc Network (VANET) provides wireless communication among vehicles and road side equipment. The communication between vehicles is used for safety and non safety purpose. The performance of communication depends on how better the routing takes place in the network. Routing of data depends on the routing protocols being used in network. In this paper we evaluate and compare the performance of two reactive routing protocols, Ad hoc On Demand Distance Vector (AODV) and Dynamic Source Routing (DSR) by taken three performance metrics like network load, throughput and end-to-end delay with varying number of mobile nodes (40, 60, 80, 100 and 120) with constant speed 10m/s. For the performance evaluation of two reactive routing protocols (AODV, DSR) we employed OPNET Modeller v14.5. OPNET modeller v14.5 is a commercial network simulator environment used for simulations of both wired and wireless networks. On the basis of results derived from simulation a conclusion is drawn on the comparison between these two different routing protocols with performance parameters like network load, throughput and end-to-end delay.

Keywords-- Ad-hoc network, AODV, DSR, MANET,

OPNET Simulation, VANET.

I. INTRODUCTION

The increasing demand of wireless communication and wireless devices have tends to research on self organizing, self healing networks without the interference of any centralized or pre-established infrastructure/authority. The networks with the absence of any centralized or pre-established infrastructure are known as Ad hoc networks. Ad hoc Networks are the category of wireless networks that uses multi hop radio relaying. Vehicular Ad hoc Networks (VANET) is an application of Mobile Ad Hoc Networks (MANETs). It is the most advanced technology that provides Intelligent Transportation System (ITS) in wireless communication among vehicles to vehicles and road side equipment (RSUs) to vehicles according to IEEE 802.11p standard. VANET provides broad range of safety and non safety applications. Safety application provides safety to the passengers such as lane change warning, collision detection etc.

It also provides comfort and commercial applications to the road users such as electronic toll collection, audio/video exchanging, electronic payments, route guidance, weather information, mobile E-commerce, internet access etc.

This paper is organized as follows. Literature review are described in section II, VANET routing protocols and simulation setup are described in section III and IV, then performance metrics used in this study are described in section V. In section VI we present the simulation result and analysis of our observation. Finally conclusion and future works are given in section VII.

II. LITERATURE REVIEW

In recent years, several researchers have analyzed and compare various ad-hoc Routing Protocols taking into consideration different performance metrics as basis for performance evaluation. They have used different simulators and simulation models for the same.

Samir R. Das et al. [1]: In this paper authors compared and analyzed the performance of AODV and DSR routing protocols using default random way point mobility model. For performance evaluation of considered protocols they used ns-2 simulator with variable pause time. After getting simulation results they conclude that DSR outperformed AODV in delay and throughput on small number of nodes with lower load and mobility while AODV performed better than DSR on large number of nodes with higher load and mobility. They also found that DSR has low throughput and delay because of aggressive use of caching and stale routes.

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459,ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014)

523

Amit N. Thakare et al. [3]: In this paper authors analyzed the performance of AODV and DSR routing protocols using ns-2 simulator with Random Waypoint mobility model. After getting simulation results they conclude that packet loss of DSR is higher as compared to AODV and ratio of packet received was higher for AODV as compared to the DSR routing protocol.

Davesh et al. [4]: In this paper authors analyzed the performance of AODV and DSR routing protocols using ns2 simulator with varying number of nodes. After getting simulation results they conclude that AODV shows very high packet delivery ratio in 40 mobile nodes, but substantially decreases if the simulation node increases. DSR shows less end to end delay as compared to the AODV. Finally they concluded that AODV performs best because it provides almost identical result in all scenarios and DSR suits for lower scalability networks in which mobile nodes move at moderate speed.

III. VANETROUTING PROTOCOLS

Routing is a mechanism to establish and to select a specific path in order to send data from source to destination. There are various routing algorithm designed for ad-hoc networks. The protocols for VANET routing can be classified as:

A. Proactive Routing Protocols: These types of routing protocols are also known as table driven routing protocols because they maintain table of connected nodes to transmit data from one node to another node and each node share its table with another node. Different types of proactive routing protocols are Destination Sequence Distance Vector Routing (DSDV), Optimized link state routing (OLSR), Fisheye State Routing (FSR).

B. Reactive Routing Protocols: These type of routing protocols are also known as On Demand routing protocols because it establish a route from source to destination whenever a node has something to send thus reducing burden on network. Reactive routing have route discovery phase where network is flooded in search of destination. There are different types of Reactive routing protocols like AODV, DSR and TORA. Here we are discussing two on demand routing protocols for VANET.

1) Ad Hoc on Demand Distance Vector (AODV): Ad hoc On Demand Distance Vector (AODV) is a pure reactive routing protocol which is capable of both unicasting and multicasting. It works on demand basis when it is required by the nodes within the network. When source node has to send some data to destination node then initially it propagates Route Request (RREQ) message which is forwarded by intermediate nodes until destination is reached. A route reply message is unicasted back to the source node if the receiver is either the node using the requested address, or it has a valid route to the requested address

2) Dynamic Source Routing (DSR): The Dynamic Source routing (DSR) protocol is a very efficient and simple routing protocol specifically designed for the multi-hop mobile wireless ad-hoc networks. It allows the network to be completely self organizing and configuring, without the need for any pre established network infrastructure .It using source routing to send packets from source to destination nodes. Source routing means that the source node must know the complete hop sequence to the destination node .In DSR each node maintains a route cache, where all route and route information are stored.

IV. SIMULATION SETUP

In this work we employed OPNET Modeler v14.5 for simulation. A campus network was modelled within an area of 1500 m x 1500 m. The all mobile nodes were spread within the area. In Table I describe the simulation parameters that are used in this simulation in order to evaluate and compare the performance of two selected routing protocols (AODV, DSR) over a MANET network.

Each and every scenario there is different numbers of mobile nodes. In first scenario we have 40 mobile nodes at constant speed 10m/s for simulating AODV routing protocol. In second scenario we have 40 mobile nodes at constant speed 10m/s for simulating DSR routing protocol and so on according to the Table II.

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459,ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014)

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Table I Simulation Parameters

Simulation Parameters Examined Protocols AODV and DSR

Number of Nodes 40,60,80,100,120

Types of Nodes Mobile

Simulation Area 1500*1500 m

Simulation Time 1800 seconds

Mobility 10 m/s

Pause Time 200 s

Performance Parameters Throughput, Delay, Network load

Traffic type FTP

Mobility model used Random waypoint

Data Type Constant Bit Rate (CBR)

Packet Size 512 bytes

Each scenario was run for 1800 seconds (simulation time). Under each simulation we check the behaviour of AODV and DSR routing protocol with constant mobility (10 m/s) and constant pause time. For examining average statistics of the network load, delay and throughput for the AODV and DSR routing protocol of VANET we collected DES (global discrete event statistics) on each protocol and Wireless LAN. We take the FTP traffic in the application configuration object this sets the application to model the high load FTP traffic for analyse the effects on routing protocols. In profile configuration object we configured the profile with high load FTP application. The nodes were wireless LAN mobile nodes with data rate of 11Mbps. After defining profile configuration we configure Mobility Configuration object for defining the mobility pattern and model that the nodes will follow during the simulation. The default random waypoint mobility model was used in this simulation. Mobile nodes in all scenarios moving with the constant speed of 10 m/s and pause time is 200 seconds.

[image:3.612.316.569.157.406.2]

Table II Scenario used

Scenarios Nodes Protocol

Scenario 1 40 AODV

Scenario 2 40 DSR

Scenario 3 60 AODV

Scenario 4 60 DSR

Scenario 5 80 AODV

Scenario 6 80 DSR

Scenario 7 100 AODV

Scenario 8 100 DSR

Scenario 9 120 AODV

Scenario 10 120 DSR

V. PERFORMANCE METRICS

We have primarily selected the following three performance metrics in order to study the performance comparison of AODV and DSR.

A. End to End Delay

The packet end to end delay is the average time that packets take to traverse in the network. Delay is the total time taken by the packets to reach from the source to destination. It is expressed in seconds. Hence all the delays in the network are called packet end-to-end delay. It includes all the delays in the network such as propagation delay (PD), processing delay (PD), transmission delay (TD), queuing delay (QD).

B. Network Load

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International Journal of Emerging Technology and Advanced Engineering

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525

When there is more traffic coming on the network, and it is difficult for the network to handle all this traffic so it is called the network load. High network load affects the VANET routing packets that reduce the delivery of packets for reaching to the channel.

C. Throughput

Throughput can be defined as the ratio of the total amount of data reaches a destination from the source. The time it takes by the destination to receive the last message is called as throughput. It is expressed as bytes or bits per seconds (byte/sec or bit/sec). It can expressed as

VI. RESULT AND ANALYSIS

The simulation result shows the performance behavior of the considered protocols in terms of network load, end to end delay and throughput. Figure 6.1–6.6 depicts the performance on the basis of network load with varying number of nodes. From graph results it is observed that DSR has less average network load as compared to the AODV except the 80 mobile nodes scenario that shown in figure 6.6. DSR has less average network load because of its on demand routing characteristics so there is no need to update the routing table. Figure 6.7–6.12 depicts the performance on the basis of end to end delay with varying number of nodes. From graph results it is observed that DSR shows higher end to end delay as compared to AODV due to the reason that when a RREQ is sent, the destination replies to all RREQ it received, which make it slower to determine the least congested route. In AODV, every destination replies to only first RREQ. In figure 6.12 observed that as the number of node increases AODV performs better than DSR, due to the route discovery process is very fast. Figure 6.13–6.18 depicts the performance on the basis of throughput with varying number of nodes. Here we see that AODV shows very high average throughput as compared to DSR that shown in figure 6.18. Because AODV is highly reliable in terms of large-scale environment and high-speed.

Figure 6.1: Network load of AODV and DSR for 40 nodes.

[image:4.612.318.572.119.697.2]

Figure 6.2: Network load of AODV and DSR for 60 nodes

.

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459,ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014)

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Figure 6.4: Network load of AODV and DSR for 100 nodes.

Figure 6.5: Network load of AODV and DSR for 120 nodes.

[image:5.612.50.569.123.697.2]

Figure 6.6: Average Network load of AODV and DSR

Figure 6.7: End to End Delay of AODV and DSR for 40 nodes

Figure 6.8: End to End Delay of AODV and DSR for 60 nodes

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459,ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014)

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[image:6.612.71.562.123.520.2]

Figure 6.10: End to End Delay of AODV and DSR for 100 nodes

Figure 6.11: End to End Delay of AODV and DSR for 120 nodes

[image:6.612.319.562.125.512.2]

Figure 6.12: Average delay of AODV and DSR

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459,ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014)

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[image:7.612.324.571.139.316.2]

Figure 6.14: Throughput of AODV and DSR for 60 nodes.

Figure 6.16: Throughput of AODV and DSR for 100 nodes.

Figure 6.17: Throughput of AODV and DSR for 120 nodes.

0 500000 1000000 1500000 2000000 2500000 3000000 3500000

40 nodes

60 nodes

80 nodes

100 nodes

120 nodes

Thr

ou

ghp

ut

(

bi

ts

/s

e

c.

)

Throughput (bits/sec.)

AODV DSR

Figure 6.18: Average Throughput of AODV and DSR

VII. CONCLUSION

This paper described a performance evaluation and comparison between two reactive routing protocols (AODV, DSR) for vehicular ad hoc network. Both protocols were simulated using OPNET 14.5 and were compared in terms of end to end delay , throughput and network load with varying number of nodes (40, 60, 80, 100, 120). From the simulation result in section we can conclude that average throughput of AODV in all scenarios is much better than DSR and average end to end delay of DSR is much higher than AODV and in terms of network load DSR shows less average network load as compared to AODV routing protocol.

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International Journal of Emerging Technology and Advanced Engineering

Website: www.ijetae.com (ISSN 2250-2459,ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014)

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Figure

Table I Simulation Parameters
Figure 6.3: Network load of AODV and DSR for 80 nodes.
Figure 6.7: End to End Delay of AODV and DSR for 40 nodes
Figure 6.12: Average delay of AODV and DSR
+2

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