Adjusted probabilistic route discovery in mobile ad hoc networks

  • Authors:

  • Jamal-Deen Abdulai;Mohamed Ould-Khaoua;Lewis M. Mackenzie

  • Affiliations:

  • Department of Computing Science, University of Glasgow, Glasgow G12 8RZ, UK;Department of Computing Science, University of Glasgow, Glasgow G12 8RZ, UK and Department of Electrical and Computer Engineering, Sultan Qaboos University, AL-Khodh 123, Muscat, Oman;Department of Computing Science, University of Glasgow, Glasgow G12 8RZ, UK

  • Venue:
  • Computers and Electrical Engineering
  • Year:
  • 2009

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Abstract

Conventional on-demand route discovery methods in mobile ad hoc networks (MANET) employ simple flooding method, 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. This paper proposed two new probabilistic methods that can significantly reduce the number of RREQ packets transmitted during route discovery operation. Our simulation analysis reveals that equipping AODV with an appropriate probabilistic route discovery method can result in significant performance improvements in terms of routing overhead, MAC collisions and end-to-end delay while still achieving a good throughput when compared with the traditional AODV.