A Skellam Distribution Inspired Trust Factor-Based Selfish Node Detection Technique in MANETs

Abstract

The trust of nodes in Mobile Ad hoc NETwork (MANET) is the potential factor that needs to be investigated for facilitating predominant network performance. The network performance influencing trust is degraded due to the presence of intentionally behaving selfish nodes that do not forward data packets to their adjoining cooperative mobile nodes. The selfish nodes lessen packet forwarding based on the energy level for conserving their energy and remain active in the network. In this paper, Skellam Distribution Inspired Trust Factor-based Selfish Node Detection Technique (SDITF-SNDT) is propounded for enforcing effective and efficient detection, and isolation of selfishly behaving mobile nodes from the network. The proposed SDITF-SNDT initiates the process of selfish node detection by determining the mean packet deviation through which the Standard Deviation (SD) and Variance are estimated for computing the Skellam Distribution Inspired Trust Factor (SDITF). This computation aids in reliability estimation of nodes in order to categorize them into selfish and cooperative nodes. From the investigations conducted for the proposed SDITF-SNDT approach, excellent improvement in Packet Delivery Ratio (PDR) and phenomenal minimization in energy consumption are confirmed for increased number of mobile nodes in the network.