基于改进蜣螂优化的DV-Hop定位算法  

Improved Dung Beetle Optimization Based DV-Hop Localization Algorithm

作　　者：吴星昊 雷文礼[1,2] WU Xinghao;LEI Wenli(School of Physics and Electronic Information,Yan’an University,Yan’an 716000;Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data,Yan’an 716000)

机构地区：[1]延安大学物理与电子信息学院,陕西延安716000 [2]陕西省能源大数据智能处理重点实验室,陕西延安716000

出　　处：《无线通信技术》2025年第1期13-18,共6页Wireless Communication Technology

基　　金：陕西省自然科学基础研究计划项目(2024JC-YBMS-572);延安大学“十四五”中长期重大科学研究规划项目(2021ZCQ015)。

摘　　要：在无线传感器网络中,常规的距离-向量(DV-Hop)定位方式有很高的定位错误率,尤其是当节点数目分布不平衡或者通讯范围过广时。针对上述问题,本文提出了基于改进蜣螂优化算法(DBO)的IDBO-DV-Hop定位新方法,通过创新性地融合元启发式优化策略与传统DV-Hop定位算法,系统性地突破了传感器网络节点定位的性能瓶颈,在算法设计和技术实现上展现出显著的理论创新价值。本文通过引入改进的蜣螂优化算法(IDBO),该算法通过多策略进行改进,包含Sin映射策略、动态自适应权重策略以及柯西变异策略等,系统性地重构DV-Hop算法的定位框架,创新性地优化未知节点位置估计策略。本文提出的IDBO-DV-Hop算法不仅在理论设计上实现了位置偏差的有效抑制,更在定位精度提升方面取得了显著突破。通过严格的仿真验证,相较于其他定位算法,IDBO-DV-Hop定位算法在定位精确度上展现出卓越的性能优势。In wireless sensor networks,the conventional distance-vector(DV-Hop)localization approach has a high localization error rate,especially when the distribution of the number of nodes is unbalanced or the communication range is too wide.To address the above problems,this paper proposes a new IDBO-DV-Hop localization method based on the improved Dung Beetle Optimization(DBO)algorithm,which systematically breaks through the performance bottleneck of node localization in sensor networks by innovatively fusing the metaheuristic optimization strategy with the conventional DV-Hop localization algorithm,and demonstrates a significant theoretical innovation value in the algorithmic design and technical implementation.In this paper,we systematically reconstruct the localization framework of the DV-Hop algorithm and innovatively optimize the unknown node position estimation strategy by introducing the improved dung beetle optimization algorithm(IDBO),which is improved by multiple strategies,including the Sin mapping strategy,the dynamic adaptive weight strategy,and the Cauchy variation strategy.The IDBO-DV-Hop algorithm proposed in this paper not only realizes the effective suppression of positional deviation in the theoretical design,but also makes a significant breakthrough in the improvement of positioning accuracy.Through rigorous simulation verification,compared with other localization algorithms,the IDBODV-Hop localization algorithm shows excellent performance advantages in terms of localization accuracy.

关 键 词：无线传感器网络 蜣螂优化算法 DV-HOP Sin映射 柯西变异 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]