Using Fuzzy Logic for Clustering in Wireless Sensor Networks

Fuzzy logic is being used for cluster head selection in wireless sensor networks in many research works. This paper discusses how choice of fuzzification methods and membership functions affects the performance of clustering. The next contribution is the development of a communication protocol based on fuzzy logic. The purpose is uniform distribution of load over the network so that energy can be saved and life of network can be prolonged. The proposed protocol reduces the frequency of the CH re-election and has therefore a reduced message complexity, reduced number of operations and therefore reduced energy consumption.