Improving probabilistic route discovery in Mobile Ad hoc Networks

J. Abdulai*, M. Ould-Khaoua, L. M. Mackenzie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Citations (SciVal)

Abstract

Conventional on-demand route discovery methods in Mobile Ad hoc Networks (MANET) employ blind flooding, where a mobile node blindly rebroadcasts received Route Request (RREQ) packets until a route to a particular destination is established. This can potentially lead to high channel contention, causing redundant retransmissions and thus excessive packet collisions in the network. Such a phenomenon induces what is known as broadcast storm problem, which has been shown to greatly increase the network communication overhead and end-to-end delay. In this paper, we show that the deleterious impact of such a problem can be reduced if measures are taken during the dissemination of RREQ packets. We propose two new probabilistic methods for on-demand route discovery, that is simple to implement and can significantly reduce the overhead involved in the dissemination of RREQs. Our analysis reveals that equipping AODV with probabilistic route discovery can result in significant performance improvements on all the standard metrics.

Original languageEnglish
Title of host publicationProceedings of the 32nd IEEE Conference on Local Computer Networks, LCN 2007
Pages739-746
Number of pages8
DOIs
Publication statusPublished - 2007
Event32nd IEEE Conference on Local Computer Networks, LCN 2007 - Dublin, Ireland
Duration: Oct 15 2007Oct 18 2007

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Other

Other32nd IEEE Conference on Local Computer Networks, LCN 2007
Country/TerritoryIreland
CityDublin
Period10/15/0710/18/07

Keywords

  • Collision
  • Flooding
  • Forwarding probability
  • MANETs
  • Network connectivity
  • Overhead
  • Reactive routing
  • Simulation

ASJC Scopus subject areas

  • General Engineering

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