Efficient Fuzzy Logic-Based Clustering Algorithm for Wireless Sensor Networks

Clustering is one of the main techniques used to increase the scalability of wireless sensor networks (WSNs). Furthermore, clustering can help to improve the energy efficiency of resource limited ad hoc network and increase the lifetime of sensor network. In this paper, we present a fuzzy clustering algorithm which improves the energy efficiency of LEACH protocol by using a better cluster head selection solution. For this propose, we apply the number of live neighboring nodes and remaining energy of network nodes to select better nodes for clustering. By creating more symmetric clusters, our scheme reduces the energy consumption of the sensors and this finally increases the lifetime of the sensor network. Finally, we simulate our solution in MATLAB software and compare it with the LEACH clustering protocol in various scenarios.