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兵工学报 ›› 2017, Vol. 38 ›› Issue (5): 932-939.doi: 10.3969/j.issn.1000-1093.2017.05.013

• 论文 • 上一篇    下一篇

基于跳数量化的无线传感器网络节点定位算法

张石, 张百海, 王飞帆, 关子霄   

  1. (北京理工大学 自动化学院, 北京 100081)
  • 收稿日期:2016-08-16 修回日期:2016-08-16 上线日期:2017-07-03
  • 通讯作者: 张百海(1966—), 男, 教授, 博士生导师 E-mail:smczhang@bit.edu.cn
  • 作者简介:张石(1985—), 男, 博士研究生。 E-mail: zhangshi1985@126.com
  • 基金资助:
    国家自然科学基金项目(61573061)

Node Localization Algorithm Based on Hop-count Quantization in Wireless Sensor Networks

ZHANG Shi, ZHANG Bai-hai, WANG Fei-fan, GUAN Zi-xiao   

  1. ( School of Automation, Beijing Institute of Technology, Beijing 100081, China)
  • Received:2016-08-16 Revised:2016-08-16 Online:2017-07-03

摘要: 为提高无线传感器网络节点定位精度,提出一种基于跳数量化的定位(MDS-HE)算法。将网络中节点的一跳邻居节点集合分割成3个不相交的子集,根据跳环分割的相交区域面积来估算节点间的距离,从而将整数跳数转换成实数跳数,转换后节点间实数跳数更能准确地表示节点间的距离;将实数跳数矩阵应用于多维定标(MDS)算法中,并且引入扩展卡尔曼滤波算法对节点坐标进行准确定位。在节点随机布撒的网络中,对提出的算法进行了仿真和实验分析。仿真和实验结果表明:在不同节点数量情况下,MDS-HE算法的性能优于距离向量定位算法和经典MDS算法,而且在锚节点足够多的条件下,MDS-HE算法定位更加准确。

关键词: 信息处理技术, 无线传感器网络, 定位, 多维定标算法, 跳数量化, 扩展卡尔曼滤波

Abstract: A novel algorithm based on hop-count quantization and extended Kalman filter based on multidimensional scaling (MDS-HE) is proposed to improve the localization accuracy of nodes in wireless sensor networks. The integer hop-count can be transformed into a real number hop-count by partitioning a node's one-hop neighbor set into three disjoint subsets and estimating the distance between nodes by the areas of the intersection regions of hop ring segmentation. The transformed real number hop-count is a more accurate representation of distance between nodes. The real number hop-count matrix is applied to the multidimensional scaling (MDS) method, and the extended Kalman filter is applied to refine accurately the coordinates of nodes. The localization performance of MDS-HE algorithm is simulated and analyzed in WSNs which is composed of nodes deploying randomly over a region. Simulated and experimental results show that the performance of the MDS-HE algorithm outperforms the DV-Hop method and the classical MDS method in the case of different number of nodes. The MDS-HE algorithm is exceedingly accurate in case of the enough anchor nodes. Key

Key words: informationprocessingtechnology, wirelesssensornetwork, localization, multidimensionalscaling, hop-countquantization, extendedKalmanfilter

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