Fuzzy Cluster Head Election algorithm based on LEACH protocol for wireless sensor networks
Wided Abidi, Tahar Ezzedine · 2017
Low-Energy Adaptive Clustering Hierarchy (LEACH) is the most famous hierarchical routing algorithms that optimizes energy consumption and increases the lifetime of network. However, the main drawback of this protocol is the randomly selection of Cluster Head (CH) without caring about remaining energy of the node, the number of neighbors alive within cluster range or the distance between node and the sink. In this work, we propose a fuzzy CH election algorithm based on LEACH protocol. In fact, this algorithm uses Fuzzy Logic method and takes into account the three criteria mentioned above. Our simulation results are compared with LEACH, Cluster Head Election using Fuzzy logic (CHEF) and Fuzzy Energy-Aware Unequal Clustering algorithm (EAUCF) and demonstrate that our proposed approach outperforms these algorithms in term of prolonging the lifetime of network and saving residual energy.