Energy efficient clustering based on fuzzy logic in heterogeneous wireless sensor networks

Abstract

Wireless sensor networks (WSNs) must be decentralised and independent of wireless sensor nodes that can track physical or environmental status. The operation of a node depends on the battery's life. Therefore, the battery's life is one of the key issues that limit the wide application of WSNs. In this article, a fuzzy logic system-based energy-efficient clustering (FLEEC) in heterogeneous WSN is introduced to solve the problem of maximising the network lifetime. To be more precise, the three factors considered, node remaining energy, distance, and proximity of the neighbour nodes, are then combined with fuzzy logic to select the appropriate sensor node as cluster head (CH); thereby, balancing the energy consumption of sensor nodes and prolonging the network lifetime. Finally, the simulation results show that the FLEEC algorithm is superior to the existing algorithms in the aspects of the stable period, half node death, throughput and network lifetime.