AN EFFICIENT FUZZY BASED ENHANCED CLUSTERING ROUTING MECHANISM FOR WIRELESS SENSOR NETWORKS

Abstract

The clustering system is a standout amongst the most encouraging schemes to diminish the vitality utilization since the power requirement still stays as a bottleneck for the Wireless Sensor Networks (WSNs). In spite of the fact that the vitality proficiency has been improved, the greater part of them results in an excess of computational cost. The fuzzy-logic based clustering algorithm beats others inferable from its prevalence in mimicking the human's basic leadership and its capacity in changing numerous contributions to a solitary yield. In this paper, a fuzzy based balanced cost CH selection algorithm (FBECS) is proposed which thinks about the remainder vitality, farness from sink and the thickness of the hub in its region as contribution to Fuzzy Inference System. Qualification record is determined for each hub for the selection of CH job. This convention guarantees load adjusting by choosing the best possibility for the job of the organizer of the cluster by considering the likelihood relegated to each sensor hub.