The Impact of Reactive Routing Protocols for Transferring Multimedia Data over MANET

Volume 16 , Issue 4 , October 2014 , Pages 9-24

Authors

Ako Muhammad Abdullah 1 ; Roza Hikmat Hama Aziz 1

1 Computer Science Department, Faculty of Physical & Basic Education, Sulaimani University

DOI logo 10.17656/jzs.10342

Keywords

Abstract


A Mobile Ad-hoc Network (MANET) is a collection of wireless nodes that can be

dynamically set up anytime and anywhere without requiring existing infrastructure. In the network

each node works as a router to discover and maintain the routes form the source to destination.

Nowadays, demanding for transferring multimedia traffic over MANET is increased while the

different factors that effect in MANET to maintain real-time communication in the presence of a

dynamic network topology. One of the factors that affect the ability of MANET to transfer

multimedia traffic from source to destination is routing protocol. The main goal of this paper is the

study, selection and evaluation the performance of two reactive routing protocols: Adhoc On

Demand Distance Vector (ADOV) and Dynamic Source Routing (DSR) in a high mobility case under

low, medium, and high density scenarios in order to transfer video conferencing application by using

an OPNET simulator. While AODV and DSR share similar On Demand behavior, the protocols

internal mechanism leads to significant differences in performance. The metrics used for

performance analysis are average end-to-end delay, network load and throughput. As a result of our

studies that the performance varies widely across different network sizes and results from once

scenario cannot be applied to those from the other scenario. In all three scenarios, we concluded

that performance of the DSR protocol is not good as throughput is very low and the routing load is

very high when compared to AODV protocols. AODV exhibits a better performance than DSR

protocols in terms of end-to-end delay. This study proves that AODV performs well in terms of end-

to-end delay, network load, and throughput with increasing number of mobile nodes.

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  • Published at16 October 2014

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