Fuzzy-Logic-Inspired Zone-Based Clustering Algorithm for Wireless Sensor Networks

With the increasing use of wireless terminals, wireless sensor networks (WSNs) have received significant attention owing to their wide usage in monitoring harsh environments, crucial surveillance and security applications, and other real-life applications. Sensor nodes in operation are equipped with batteries that are not rechargeable in most of the cases. Attaining the lifetime maximization of these nodes has drawn the attention of researchers in recent years. The clustering mechanism is highly successful in conserving energy resources for network activities and has become a promising field for researches to overcome the issues of battery-constrained WSNs. This research work implements zone-based clustering with the fuzzy-logic approach for dynamic cluster head (CH) selection. It aims to resolve the problem of unbalanced energy dissipation among the CHs in the network. The experimental results show that the proposed protocol outperforms the existing protocols in terms of maximizing the network lifetime.