传感技术学报2025，Vol.38Issue(3)：533-542,10.DOI:10.3969/j.issn.1004-1699.2025.03.021
基于对立竞争群优化器的WSN部署策略研究
Research on WSN Deployment Strategy Based on Oppositional Competitive Swarm Optimizer
摘要
Abstract
To improve the coverage rate and reduce the energy consumption of wireless sensor network,a WSN deployment strategy based on opposition-based competitive swarm optimizer is proposed.Firstly,a binary sensor model is used to monitor the sensing area,an obstacle avoidance path is generated for each sensor node,and the sensor coverage model and mobility model are established.Second-ly,the competitive swarm optimizer algorithm based on opposition-based learning is used to improve the competitive swarm optimizer al-gorithm,and a hybrid boundary mechanism is developed by combining the virtual force algorithm with the boundary mechanism.The Voronoi diagram's partitioning ability is used to performed decomposition of the sensing area of each sensor,so as to sense the network information of radius allocation.Finally,several typical application scenarios are selected for simulation analysis and compared with other four methods to verify the effectiveness of the proposed method.The experimental results show that the proposed method can maxi-mize the coverage area and minimize the network energy consumption.Moreover,for the tested scenarios,the proposed method has shor-ter moving distance and faster coverage convergence than other comparison algorithms.关键词
无线传感器网络/节点部署/网络覆盖率/竞争群优化器/虚拟力算法Key words
wireless sensor network/node deployment/network coverage/competitive swarm optimizer/virtual force algorithm分类
航空航天引用本文复制引用
罗清波,朱星星..基于对立竞争群优化器的WSN部署策略研究[J].传感技术学报,2025,38(3):533-542,10.基金项目
江苏省职教学会项目(XHYBLX2023150) （XHYBLX2023150）
江苏省人才学会项目(2023SRC026) （2023SRC026）
