系统仿真学报 ›› 2019, Vol. 31 ›› Issue (2): 316-324.doi: 10.16182/j.issn1004731x.joss.17-0099

• 论文 • 上一篇    下一篇

基于最佳路径匹配的DV-Hop改进方法

石琴琴1, 徐强1, 张建平2   

  1. 1. 上海应用技术大学计算机科学与信息工程学院,上海 201418;
    2. 华车科技有限公司,上海 200127
  • 收稿日期:2017-03-06 修回日期:2017-06-01 出版日期:2019-02-15 发布日期:2019-02-15
  • 作者简介:石琴琴(1975-),女,山西五寨,博士,讲师,硕导,研究方向为无线感知网络定位相关技术。
  • 基金资助:
    国家自然科学基金(61103180),上海应用技术学院协同创新基金(XTCX2015-11)

Improved DV-Hop Localization Scheme Based on the Best Path Matching Strategy

Shi Qinqin1, Xu Qiang1, Zhang Jianping2   

  1. 1. School of Computer Science & Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China;
    2. Sino Parking Tech Co. Ltd., Shanghai 200127, China
  • Received:2017-03-06 Revised:2017-06-01 Online:2019-02-15 Published:2019-02-15

摘要: 针对原DV-Hop (Distance Vector-Hop)方法在实际应用中因网络的各向异性而导致的距离估计误差较大以及位置计算算法对测距误差敏感的问题进行改进,在距离估计步骤中提出通过路径相似度参数对比的策略选择最佳信标间路径来逼近未知节点与信标间路径;在位置计算步骤中提出在原有Lateration算法的基础上增加改进的粒子群算法优化过程。仿真实验表明,与原DV-Hop方法和其他典型改进方法相比,所提改进方法首先提高了测距精度,进而提高了定位算法对测距误差的鲁棒性,从而整体上可有效提高全网未知节点的定位精度。

关键词: DV-Hop, 节点定位, 路径匹配, Lateration, 粒子群算法

Abstract: Improvement strategies are provided in view of the fact that the original DV-Hop (Distance, Vector-Hop) method has great error in distance estimation due to the network anisotropy in practical applications and the sensitivity of its location derivation algorithm to the range error. In the distance estimation step, a strategy of computing path similarity parameter is proposed to find out the most similar beacon-beacon path to beacon-node path; in the position calculation step, a modified PSO (Particle Swarm Optimization) algorithm is added after the initial position of an unknown node being derived using Lateration algorithm. Simulation shows that compared with the original method and other representative improved algorithms, our method can obtain higher distance estimation accuracy, improve the robustness to range error, and effectively improve enhance the average localization accuracy of the unknown nodes in the network.

Key words: DV-Hop, node localization, path matching, Lateration, PSO algorithm

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