Performance analysis of MANET routing protocols in the presence of self-similar traffic

Al-Maashri, A. and Ould-Khaoua, M. (2006) Performance analysis of MANET routing protocols in the presence of self-similar traffic. In: Proceedings of the 31st IEEE Conference on Local Computer Networks, 2006, Tampa, Florida, USA, 14-16 November 2006, pp. 801-807. ISBN 1424404193 (doi: 10.1109/LCN.2006.322040)

Abstract

A number of measurement studies have convincingly demonstrated that network traffic can exhibit a noticeable self-similar nature, which has a considerable impact on queuing performance. However, many routing protocols developed for MANETs over the past few years have been primarily designed and analyzed under the assumptions of either CBR or Poisson traffic models, which are inherently unable to capture traffic self-similarity. It is crucial to re-examine the performance properties of MANETs in the context of more realistic traffic models before practical implementation show their potential performance limitations. In an effort towards this end, this paper evaluates the performance of three well-known and widely investigated MANET routing protocols, notably DSR, AODV and OLSR, in the presence of the bursty self-similar traffic. Different performance aspects are investigated including, delivery ratio, routing overhead, throughput and end-to-end delay. Our simulation results indicate that DSR routing protocol performs well with bursty traffic models compared to AODV and OLSR in terms of delivery ratio, throughput and end-to-end delay. On the other hand, OLSR performed poorly in the presence of self-similar traffic at high mobility especially in terms of data packet delivery ratio, routing overhead and delay. As for AODV routing protocol, the results show an average performance, yet a remarkably low and stable end-to-end delay.

• Item Type: Conference Proceedings
• Keywords: Latency, mobile ad hoc network, NS-2 simulation performance analysis, self-similarity, throughput.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ould-Khaoua, Dr Mohamed
• Authors: Al-Maashri, A., and Ould-Khaoua, M.
• Subjects: Q Science > QA Mathematics > QA76 Computer software
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: IEEE
• ISSN: 0742-1303
• ISBN: 1424404193
• Copyright Holders: Copyright © 2006 IEEE
• First Published: First published in Proceedings of the 31st IEEE Conference on Local Computer Networks 2006
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.