Fuzzy Logic-Based Unequal Clustering with On-Demand-Based Clustering Approach for a Better Lifetime of Wireless Sensor Network

Clustering is a mechanism by which the network is partitioned into disjoint sets of groups to achieve energy efficiency and facilitate data aggregation in wireless sensor network. The clustering algorithm proposed earlier performs clustering on every round basis. On-demand clustering is a recent approach which eradicates the every round based clustering by performing clustering when it is required. But the on-demand clustering approaches proposed so far use equal clustering where clusters are of almost equal size thus, it suffers from the hot spot problem. Therefore, to solve the hot spot problem, a fuzzy logic-based unequal clustering approach is proposed along with an on-demand-based clustering. The proposed approach is implemented and compared with ECPF. Simulation results demonstrate that the proposed approach performs better, in terms of lifetime and other metrics.