LIFETIME ENHANCEMENT IN WIRELESS SENSOR NETWORKS WITH FUZZY LOGIC USING SBGA ALGORITHM

The wireless sensor network (WSN) poses many challenges due to critical mobility environment such as large propagation delay and limited bandwidth capacity of communication channels. WSN often finds difficulties on the overhead produced during message passing, constant energy and node cost. The solution has expressed to address these issues, this paper proposes Fuzzy logic and Search Based Gravitational Routing Protocol (FSBGRP) for Lifetime improvement. The Search based Gravitational Algorithm (SBGA) is used for searching the paths. As SBGA finds the global optimum faster, it has higher convergence rate. An improved routing technique is proposed for lifetime improvement in WSN. To estimate the node cost using fuzzy logic, the parameters such as link quality, residual energy and system load are used. Simulation results prove that the proposed protocol performs well compared to the existing protocols.