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

Tran The Son, Hoa Le Minh, Graham Sexton, Nauman Aslam

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


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.
Original languageEnglish
Publication statusPublished - 2012
EventWireless Telecommunications Symposium (WTS), 2012 - London
Duration: 1 Jan 2012 → …


ConferenceWireless Telecommunications Symposium (WTS), 2012
Period1/01/12 → …


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