Bates Distribution Inspired Trust Factor-Based Selfish Node Detection Technique in Mobile Adhoc NETworks

Abstract

The trustworthiness of the mobile nodes is considered as the predominant parameter for ensuring significant data dissemination in the ad hoc network. However, the selfishness activity of the mobile nodes minimizes the trust of the mobile nodes by dropping a considerable number of data packets in the network. The significant dropping of data packets by the selfish node introduces huge data overhead with increased latency and energy consumptions by increasing the number of retransmissions. In this paper, a Bates Distribution Inspired Trust Factor-based Selfish Node Detection Technique (BDITF-SNDT) is proposed for predominant detection of selfish behavior by investigating multiple levels of factors that contribute towards effective selfishness detection. This proposed BDITF-SNDT approach is also potent in enhancing the detection rate of selfishness through the multi-perspective analysis of each monitored mobile nodes' forwarding characteristics towards the benefits of the other interacting mobile nodes. The simulation experiments and results of the proposed BDITF-SNDT approach is determined to be enhanced on an average by 16% and 14% superior to the compared selfish node isolation approaches existing in the literature.