华中科技大学学报（自然科学版）2024，Vol.52Issue(3)：149-155,7.DOI:10.13245/j.hust.240066
基于遗传模拟退火优化的DV-Hop定位算法
Dv-Hop localization algorithm based on genetic simulated annealing optimization in wireless sensor network
摘要
Abstract
In order to further improve the positioning accuracy of WSN,an improved dv-hop positioning optimization algorithm based on genetic simulated annealing method was proposed.Firstly,the number of hops adjustment factor was introduced to correct the number of hops information between nodes.After the introduction of collinearity,the beacon nodes with large errors were removed.Then the average hop distance of dv-hop beacon nodes was optimized by weighting method,which reduced the localization error caused by the limitations of dv-hop algorithm.Secondly,the local search ability of genetic algorithm was enhanced by combining genetic algorithm with simulated annealing algorithm.Simulation results show that DGSA algorithm is more accurate than other localization algorithms in the same situation.关键词
无线传感器网络/节点定位/dv-hop/遗传算法/模拟退火算法Key words
wireless sensor networks/nodes positioning/dv-hop/genetic algorithm/simulated annealing algorithm分类
信息技术与安全科学引用本文复制引用
余修武,穆静,刘永..基于遗传模拟退火优化的DV-Hop定位算法[J].华中科技大学学报（自然科学版）,2024,52(3):149-155,7.基金项目
湖南省市联合自然科学基金资助项目(2021JJ50093) （2021JJ50093）
国家自然科学基金资助项目(11875164) （11875164）
湖南省重点研发计划资助项目(2018SK2055). （2018SK2055）
