Mixed Strategy Game Theory based Clustering Routing Algorithm for Wireless Sensor Networks

Abstract

We propose a grouping steering calculation for remote sensor organizations (WSNs) in view of blended system game hypothesis (CR-MSGT), which recreates the way of behaving of sensor hubs in an organization through the blended technique model, in order to decide if sensor hubs partake in the appointment of competitor bunch heads (CHs). The sensor hubs are arbitrarily chosen as CHs or normal hubs as per their lingering energy and the typical energy of the organization. Games are consistently played between hubs until the income capability is boosted to arrive at the game harmony, in this way demonstrating the presence of the Nash balance. Exploratory outcomes demonstrate the way that CR-MSGT can really expand the survivability of an organization and relieve the energy utilization of hubs.