Fuzzy based Hybrid Clustering using Dual Cluster Heads (FHCDCH) for Wireless Sensor Networks

A broad spectrum of applications use wireless sensor networks (WSNs) but the consumption of the energy is one of the biggest issue due to the resource constraints. Clustering has been proved to be the most widely used technique for efficient resource utilization. It is not only used for topology management but also for balancing the network load so as to ensure energy efficiency and network stability by enhancing the network lifespan. The proposed work suggests the use of dual cluster heads viz. primary CH and secondary CH to balance the load evenly. The proposed hybrid approach FHCDCH forms clusters by applying Fuzzy–C–Means proceeded by the appointment of secondary CH by using fuzzy logic on the basis of node’s remnant energy, degree and centrality. The proposed scheme FHCDCH exhibits 30%-40% improvements in terms of network longevity and throughput as depicted by the simulation results.