CLUSTERING IN WIRELESS SENSOR NETWORK USING FUZZY LOGIC

Abstract

In numerous research studies, fuzzy logic is employed to pick cluster heads in wireless sensor networks. The performance of clustering is discussed in this study as a function of the Fuzzification methods and membership functions used. The invention of a communication protocol based on fuzzy logic is the next contribution. The goal is to distribute load evenly over the network in order to save energy and extend the network's life. Because the suggested protocol minimizes the frequency of CH re-election, it has a lower message complexity, fewer operations, and hence lower energy usage.