Organized Selection Cluster Head on Fuzzy Low-Energy Adaptive Clustering Hierarchy Protocol in Three-Dimensional Wireless Sensor Networks

Background: In this paper, A definition of proposed enhancement approach to reduce the energy consumption, extend the network lifetime and improve the performance of protocol Fuzzy Low-Energy Adaptive Clustering Hierarchy Algorithm (Fuzzy LEACH). Objective: This improvement will augment the energy balancing in clusters among all sensor nodes and minimize the energy dissipation during network communications. Methods: The proposed method is based on a cluster head selection method. Moreover, an enhanced organization of this selection has been implemented. Results: Mathematical analysis and MATLAB 2013a simulation results show the effectiveness of the proposed approach. The new approach reduce the energy consumption of Wireless Sensor Network (WSN) about 0.99% to 5.64%, prolongs the network life cycle by 42% and increases the number of packets sent by 86% to 732%. Conclusion: The developed approach indicates a progress in terms of network lifetime, energy consumption and number of packets transferred to BS compared to Low-Energy Adaptive Clustering Hierarchy Algorithm (LEACH) and other related extended spaces protocols.