四川轻化工大学学报（自然科学版）2025，Vol.38Issue(6)：60-68,9.DOI:10.11863/j.suse.2025.06.07
基于多策略差分进化算法的WSN覆盖优化
WSN Coverage Optimization Based on a Multi-strategy Differential Evolution Algorithm
摘要
Abstract
To address the issue of uneven node distribution caused by random deployment in traditional wireless sensor networks(WSNs),leading to reduced network quality,an improved multi-strategy differential evolution algorithm(MSDE)is proposed for WSN coverage optimization.Firstly,elite individual initialization is used in the algorithm's initialization phase to enhance the quality of the initial population.Secondly,mutation strategies are designed according to the characteristics of each iterative stage to improve global search capabilities.In addition,a periodic fluctuation strategy is introduced to prevent the algorithm from converging to local optima.Lastly,the optimization capability of the MSDE is validated through benchmark test functions.The MSDE achieved WSN coverage rate improvements of 12.63,17.48,and 21.16 percentage points respectively compared to the standard differential evolution algorithm under three distinct experimental scenarios.The results demonstrate that MSDE is effective and applicable for WSN coverage optimization problems.关键词
无线传感器网络/差分进化算法/节点部署/混沌映射Key words
wireless sensor networks/differential evolution algorithm/node deployment/chaotic mapping分类
信息技术与安全科学引用本文复制引用
许哲铭,谭飞,李汶娜,汪奇..基于多策略差分进化算法的WSN覆盖优化[J].四川轻化工大学学报（自然科学版）,2025,38(6):60-68,9.基金项目
国家自然科学基金项目(61902268) （61902268）
四川省科技计划项目(21ZDYF4052 （）
2020YFH0124 （）
2021YFSY0060) （）
