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.
|Publication status||Published - 2012|
|Event||Wireless Telecommunications Symposium (WTS), 2012 - London|
Duration: 1 Jan 2012 → …
|Conference||Wireless Telecommunications Symposium (WTS), 2012|
|Period||1/01/12 → …|