无线电工程2025，Vol.55Issue(4)：767-774,8.DOI:10.3969/j.issn.1003-3106.2025.04.009
基于阶段重构海洋捕食者算法的无线传感器网络定位
Wireless Sensor Network Localization Based on Stage-reconstructed Marine Predator Algorithm
摘要
Abstract
With the widespread application of Wireless Sensor Network(WSN)in various applications,the node localization accuracy has become a critical indicator for evaluating their performance.A wireless sensor localization method based on the stage-reconstructed Marine Predator Algorithm(MPA)is proposed,which enhances localization accuracy by improving hop-count estimation errors in the Distance Vector-Hop(DV-Hop)algorithm.During the distance estimation stage,the Jaccard coefficient quantification model is adopted to adjust the hop count between nodes and their neighboring nodes,thereby refining hop-count calculations and reducing localization errors.In the localization stage,a stage-reconstruction strategy is proposed.The population diversity is utilized to redefine the three stages of the MPA to optimize the search process.Additionally,the positions of random individuals are introduced to increase the randomness and diversity of the algorithm,preventing it from prematurely converging to a local optimal solution.Through simulation experiments comparing with traditional algorithms,the superiority of the proposed method in terms of node localization error of each node is validated.Furthermore,the experiments explore the impact of anchor node ratio on the localization performance.Under different anchor node ratios,the proposed method can consistently provide lower localization errors,further demonstrating its effectiveness and adaptability.Experimental results indicate that the proposed method exhibits significant advantages in node localization accuracy and is suitable for WSN localization tasks in complex environments.关键词
杰卡德系数/阶段重构/海洋捕食者算法/无线传感器网络Key words
Jaccard coefficient/stage-reconstruction/MPA/WSN分类
电子信息工程引用本文复制引用
李一鸣,杨永鹏,崔雅茹,聂础辉,杨刚..基于阶段重构海洋捕食者算法的无线传感器网络定位[J].无线电工程,2025,55(4):767-774,8.基金项目
湖南省自然科学基金(2024JJ7218,2025JJ70287) （2024JJ7218,2025JJ70287）
深圳市科技计划资助项目(JCYJ20220530164814032) （JCYJ20220530164814032）
湖南省教育厅项目(23C0217) Hunan Provincial Natural Science Foundation of China(2024JJ7218,2025JJ70287) （23C0217）
Project Funded by Shenzhen Science and Tech-nology Plan(JCYJ20220530164814032) （JCYJ20220530164814032）
Project of Hunan Provincial Educational Committee(23C0217) （23C0217）
