Authors : Saloni Suri and Nitin Mittal
Abstract: Clustering is most efficient technique to reduce energy consumption for Wireless Sensor Networks (WSN). The Cluster Heads (CH) are selected in each cluster and nodes belonging to that cluster will aggregate their data to the cluster head. In this study, improved version of MOFCA protocol is introduced which addressed the issue of energy consumption in WSN. The improved MOFCA is the fuzzy clustering algorithm which includes node density, remaining energy, node mobility and distance from Base Station (BS) as input parameters to generate final output in terms of node radius. The simulation of improved MOFCA is done in MATLAB and compared with MOFCA. It has been analyzed that efficiency of improved MOFCA is increased after introducing node mobility parameter in the fuzzy rules.
Saloni Suri and Nitin Mittal, 2017. Improved Fuzzy Based Clustering Algorithm for Wireless Sensor Networks. Journal of Engineering and Applied Sciences, 12: 2996-3001.