A family system based evolutionary algorithm for obstacle-evasion minimal exposure path problem in Internet of Things

作者：

Highlights：

• Formulate the obstacles-evade minimal exposure path problem in WSNs.

• Model and devise a method to randomly generate obstacles in different forms.

• Propose the Family System based on Evolutionary Algorithm for solving this problem.

• Conduct a number of systematic simulations and analyze the experimental results.

摘要

•Formulate the obstacles-evade minimal exposure path problem in WSNs.•Model and devise a method to randomly generate obstacles in different forms.•Propose the Family System based on Evolutionary Algorithm for solving this problem.•Conduct a number of systematic simulations and analyze the experimental results.

论文关键词：Minimal exposure path,Barrier coverage,Wireless sensor networks,Family system based Evolutionary Algorithm,Real-world deployment environment with presenting obstacles

论文评审过程：Received 14 February 2021, Revised 1 January 2022, Accepted 17 March 2022, Available online 4 April 2022, Version of Record 7 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116943