Type-2 Fuzzy Logic Based Energy-Efficient Cluster Head Election for Multi-Hop Wireless Sensor Networks

Abstract

The network scalability and energy performance have great importance in wireless sensor networks (WSNs). WSN consists of a vast number of nodes with small memory and battery capacity, which makes an energy-efficient design of WSNs very essential. Since the entire network's life depends on the sensor nodes, effective energy usage, clustering has been proved one of the best approaches to enhance energy efficiency and network lifetime. In this paper, we design a type 2 fuzzy logic based clustering scheme in a multi-hop WSN to reduce energy consumption and improve network scalability. In this clustering scheme, we propose a Cluster head (CH) selection strategy where a sensor node is elected as a CH based on type 2 fuzzy logic inputs. To balance the load of CHs we also select their radius size based on the fuzzy logic inputs. We compare our proposed scheme with the well-known TTDPF and CHCCF schemes. The simulation results show that our proposed schemes outperform the TTDFP and CHCCF schemes in terms of network lifetime and other metrics.