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

作　　者：李一鸣 杨永鹏 崔雅茹 聂础辉 杨刚[2,3] LI Yiming;YANG Yongpeng;CUI Yaru;NIE Chuhui;YANG Gang(School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414006,China;Shenzhen Institute for Advanced Study,UESTC,Shenzhen 518110,China;National Key Laboratory of Wireless Communications,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]湖南理工学院信息科学与工程学院,湖南岳阳414006 [2]电子科技大学(深圳)高等研究院,广东深圳518110 [3]电子科技大学通信抗干扰全国重点实验室,四川成都611731

出　　处：《无线电工程》2025年第4期767-774,共8页Radio Engineering

基　　金：湖南省自然科学基金(2024JJ7218,2025JJ70287);深圳市科技计划资助项目(JCYJ20220530164814032);湖南省教育厅项目(23C0217)。

摘　　要：随着无线传感器网络(Wireless Sensor Network,WSN)在各种应用中的广泛使用,节点定位精度成为衡量其性能的重要指标。提出了一种基于阶段重构海洋捕食者算法(Marine Predator Algorithm,MPA)的无线传感器定位方法,通过改进距离向量跳数(Distance Vector-Hop,DV-Hop)算法中的跳数估计误差,提高定位精度。在距离估计阶段,采用杰卡德系数量化模型调整节点与邻居节点之间的跳数,从而细化跳数计算,减小定位误差。在定位阶段,提出了阶段重构策略,利用种群多样性重新定义MPA的三阶段来优化搜索过程,引入随机个体的位置以增加算法的随机性和多样性,防止过早收敛到局部最优解。通过仿真实验与传统算法进行比较,验证了所提方法在各节点定位误差上的优越性。探讨了锚节点比例对定位性能的影响,在不同的锚节点比例下,所提方法能够稳定地提供更低的定位误差,进一步证明了其有效性和适应性。实验结果表明,所提方法在节点定位精度上具有明显优势,适用于复杂环境下的WSN定位任务。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 

分 类 号：TN916[电子电信—通信与信息系统]