LEACH-FIS: An Improved LEACH Based on Fuzzy Inference System in MWSNs
Yongfan Zhou, Hongguang Zhang, Libiao Zhang, Bihua Tang, Yuanan Liu · 2018
Hierarchical clustering is an effective method to save energy in immobile WSNs. In last decade, with the mobility applications of WSNs increasing rapidly, hierarchical clustering of mobile WSNs is becoming a high-effective and high-efficient method to save energy, such as LEACH-M, LEACH-ME, and MBC. We propose an improved LEACH protocol, which uses a fuzzy inference system (FIS) to select cluster heads (CHs). This proposed LEACH is called LEACH-FIS. This FIS considers the node's residual energy, density, speed and direction. The interesting thing of LEACH-FIS is that, by referring the speed change (and direction change) degree relative to its neighbors, this FIS classifies the node's speed (and direction) into the corresponding membership-function value. Simulation results show that the network lifetime of LEACH-FIS is 52.8%, 66.1% and 22.6% higher than LEACH-M, LEACH-ME, and MBC, respectively.