Fuzzy Logic-Based Clustering Algorithm for Multi-hop Wireless Sensor Networks

Abstract

To prolong the life of wireless sensor networks(WSNs) and reduce energy consumption, a clustering protocol based on fuzzy logic for Multi-hop WSNs(FLCMN) is proposed. The algorithm considers the residual energy of nodes, the number of neighbor nodes and the average residual energy of neighbor nodes. According to the pre-set fuzzy rule base, the fuzzy system is used to evaluate the satisfaction of the elected cluster head(CH). In addition, the average residual energy of neighbor nodes is taken into consideration, which improves the hotspot problem and balances the energy consumption between clusters. At the same time, in order to improve the hot issues among clusters, a multi-hop transmission scheme based on Fibonacci sequence is proposed to prolong the lifetime of the network. Through simulation, FLCAMN algorithm outperforms LEACH, EAMMH and DFLC algorithms in terms of network's survival time and energy consumption.