Research Article

Performance study of a wireless mobile ad hoc network with orientation-dependent internode communication scheme

  1. Alexander Kostin1,
  2. Gurcu Oz2,*,
  3. Huseyin Haci3

Article first published online: 15 MAY 2012

DOI: 10.1002/dac.2363

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How to Cite

Kostin, A., Oz, G. and Haci, H. (2012), Performance study of a wireless mobile ad hoc network with orientation-dependent internode communication scheme. Int. J. Commun. Syst.. doi: 10.1002/dac.2363

Author Information

  1. 1

    Girne American University, Girne, North Cyprus

  2. 2

    Eastern Mediterranean University, Famagusta, North Cyprus

  3. 3

    University of Kent, UK

*Gurcu Oz, Department of Computer Engineering, Eastern Mediterranean University, Famagusta, North Cyprus, via Mersin 10, Turkey.
E-mail: gurcu.oz@emu.edu.tr

Publication History

  1. Article first published online: 15 MAY 2012
  2. Manuscript Accepted: 1 APR 2012
  3. Manuscript Revised: 6 FEB 2012
  4. Manuscript Received: 14 MAR 2011

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Keywords:

  • mobile wireless ad hoc networks;
  • oriented links;
  • simulation;
  • extended Petri nets

SUMMARY

A Petri-net-based simulation model of a wireless mobile ad hoc network is developed and studied. The model covers all the fundamental aspects of behaviour of such a network and uses a novel scheme of orientation-dependent (or sector-dependent) internode communication, with random states of links. The proposed scheme enables representation of reliability aspects of wireless communication, such as fading effects, interferences, presence of obstacles and weather conditions in a general and rather easy way. The simulation model was implemented in terms of a class of extended Petri nets to explicitly represent parallelism of events and processes in the WLAN as a distributed system. In the simulation, the behaviour of four fundamental performance metrics — packet delivery ratio, average number of hops, relative network traffic and end-to-end delay — were investigated with varying distance of transmission and different combinations of model parameters. Copyright © 2012 John Wiley & Sons, Ltd.

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