Fuzzy Based Optimal Clustering Protocol for Maximizing Lifetime in WSN

In Wireless Sensor Networks (WSN), the clustering protocol requires the nodes local information like energy level, distance between to BS and node density, link quality and load while estimating the cluster heads to handle network lifetime. In this study, we propose fuzzy based optimal clustering protocol for maximizing lifetime in WSN. Initially, several provisional cluster heads are elected in a random manner. The nodes other than provisional cluster heads involve in gathering the neighbor nodes local information such as residual energy, distance, node density and network load. The collected information is fuzzified using fuzzy logic technique and appropriate cluster head and size are estimated. Based on uninterrupted operational mechanism of each cluster head, the cluster heads are updated, thereby reducing the frequency of cluster head updation. By simulation results, we show that the proposed technique enhances the network lifetime.