计算机技术与发展2025，Vol.35Issue(5)：1-8,8.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0388
基于Sobol-Halton序列ZOA-GWO的WSN覆盖研究
Research on WSN Coverage Based on Sobol-Halton Sequence ZOA-GWO
摘要
Abstract
Aiming at the problem of low coverage due to uneven distribution of nodes during random deployment of Wireless Sensor net-works,an optimization method of WSN coverage based on Sobol-Halton sequence is proposed,which combines zebra optimization algorithm and grey wolf optimization algorithm(ZOA-GWO).Firstly,Sobol-Halton sequence is used to randomly generate distributed nodes,which aims to have better randomness when initializing WSN nodes,make randomly generated nodes more uniform,and indirectly improve coverage and connectivity when deploying WSN networks.Secondly,Zebra Optimization Algorithm(ZOA)and Grey Wolf Optimization algorithm(GWO)are combined.Compared with GWO,ZOA has faster iteration speed and higher local search rate in the early stage,while GWO has faster iteration rate in the later stage,which can balance the accuracy of global search ability and local search ability.Applying the fused algorithm to the early and late stages of the iterative process can ensure the overall performance of WSN de-ployment optimization.Finally,four benchmark functions are used to simulate GWO,ZOA,ZOA-GWO,S-ZOA-GWO(fusion algorithm with Sobol sequence to initialize the population)and SH-ZOA-GWO(fusion algorithm with Sobol and Halton sequence to initialize the population),and the WSN coverage optimization of ZOA,WSN coverage optimization of GWO,and WSN coverage optimization based on Sobol-Halton are compared and tested to prove the effectiveness and advancement of the proposed method.关键词
无线传感器网络/WSN覆盖优化/斑马优化算法/灰狼优化算法/Sobol序列/Halton序列Key words
wireless sensor network/WSN coverage optimization/zebra optimization algorithm/grey wolf optimization algorithm/Sobol sequence/Halton sequence分类
计算机与自动化引用本文复制引用
任庆欣,冯锋..基于Sobol-Halton序列ZOA-GWO的WSN覆盖研究[J].计算机技术与发展,2025,35(5):1-8,8.基金项目
宁夏重点研发计划重点项目(2022BEG02016) （2022BEG02016）
