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Bayesian Classifier model for reactive routing improvement in mobile ad-hoc networks

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4 Author(s)
Son, T.T. ; Northumbria Commun. Res. Lab. (NCRLab), Northumbria Univ., Newcastle upon Tyne, UK ; Minh, H.L. ; Sexton, G. ; Aslam, N.

This paper introduces a Bayesian Classifier model to improve the performance for reactive routing protocols in mobile ad-hoc networks (MANETs). The model can help to increase the network throughput and reduce end-to-end delay by controlling the broadcast area. Additional information related to hop-counts and node densities are used to support routing protocol in broadcasting. It is shown that the achieved throughput is increased twice and the delay is reduced by 50% in comparison to existing conventional routing protocols. The number of control packets disseminated during route discovery process decreased significantly in comparison with conventional scheme.

Published in:

Wireless Telecommunications Symposium (WTS), 2012

Date of Conference:

18-20 April 2012