An enhanced fuzzy-based clustering protocol with an improved shuffled frog leaping algorithm for WSNs

作者：

Highlights：

• Develop a metaheuristic fuzzy-based clustering protocol for WSN.

• Propose an overlay boundary concept to adjust proper distance for cluster head selection.

• Design an encoding scheme of optimization process for fuzzy parameters.

• Improve a shuffled frog leaping algorithm with opposition-based operators to reduce convergence.

• Perform an intensive evaluation over recent state of the art WSN clustering methods.

摘要

•Develop a metaheuristic fuzzy-based clustering protocol for WSN.•Propose an overlay boundary concept to adjust proper distance for cluster head selection.•Design an encoding scheme of optimization process for fuzzy parameters.•Improve a shuffled frog leaping algorithm with opposition-based operators to reduce convergence.•Perform an intensive evaluation over recent state of the art WSN clustering methods.

论文关键词：Wireless sensor networks,Energy consumption,Network lifetime,Shuffled frog leaping algorithm (SFLA),Clustering protocol,Fuzzy inference system (FIS)

论文评审过程：Received 17 June 2021, Revised 21 September 2021, Accepted 25 February 2022, Available online 11 March 2022, Version of Record 17 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116767