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

Son, Tran The, Le Minh, Hoa, Sexton, Graham and Aslam, Nauman (2012) Bayesian Classifier model for reactive routing improvement in mobile ad-hoc networks. In: Wireless Telecommunications Symposium (WTS), 2012, 18-20 April 2012, London.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Ay Okpokam
Date Deposited:	21 Oct 2013 14:33
Last Modified:	13 Oct 2019 00:31
URI:	http://nrl.northumbria.ac.uk/id/eprint/14143

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