HFLBSC: Heuristic and Fuzzy Based Load Balanced, Scalable Clustering Algorithm for Wireless Sensor Network

In spite of the severe limitations on the resources of the sensor nodes such as memory, computational power, transmission range and battery, the application areas of Wireless Sensor Networks (WSNs) are increasing day by day. The main challenge in WSNs is energy consumption. It becomes significant when a large number of nodes are deployed. Although clustering is one of the solutions to cater to this problem, but it suffers from severe energy consumption due to the non-uniform selection of CHs and frequent re-clustering. In this paper, we propose a heuristic and fuzzy based load balanced, scalable clustering algorithm for WSNs called HFLBSC. In this algorithm, we have segregated the network into a layered structure using the area under intersection over union curve. We have selected the CHs by considering residual energy and distance threshold. We have stalled the frequent re-clustering by utilizing the decision made with the help of fuzzy logic. Our proposed scheme is capable enough to elongate the network lifetime. Simulation results confirm that on an average, HFLBSC is 32% better in terms of FND, 38% less energy consumption, 25% more alive nodes, 72% less deviation in residual energy than LEACH, FM-SCHEL, and MIWOCA.