计算机科学 ›› 2011, Vol. 38 ›› Issue (5): 37-40.

• 计算机网络与信息安全 • 上一篇    下一篇

一种基于多重共线性的三维DV-Hop定位算法

严筱永,钱焕延,高德民,于继明   

  1. (南京理工大学计算机科学与技术学院 南京210094);(金陵科技学院信息技术学院 南京211169)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受江苏省教育厅省属高校自然科学研究基金(09KJD510008),金陵科技学院校科研基金项目(jit-n-201009)资助。

Multicollinearity-based 3D DV-Hop Localization Algorithm

YAN Xiao-yong,QIAN Huan-yan,GAO De-min,YU Ji-min   

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对多边测距法的不足,考虑定位算法所应用的现实环境,在典型DV-Hop算法的基础上,提出了一种改进的三维定位算法。该算法除了将DV-Hop定位算法从二维空间移植到三维空间以外,着重考虑了信标节点拓扑关系和跳数对定位精度的影响,提出一种基于多重共线性的三维DV-Hop定位算法MCB3D DV-Hop。该算法通过设置跳数阂值与多重共线性阂值两个阂值参数,挑选网络中好的信标节点组进行位置估计。理论分析和仿真实验结果表明了算法有较高的定位精度和稳定性。

关键词: 多重共线性,三维定位,DV-Hop

Abstract: To overcome the disadvantage of multilateral ranging method, consider the location algorithm applied realistic environment, based on the characteristics of DV-Hop, an improved three-dimensional localization algorithm was proposed. The algorithm not only transplants DV-Hop localization algorithm from two dimensions to threcdimensional space outside, also taking into account the algorithm beacon node topology and hops on the localization accuracy, and a Multicollinearity-Based 3D DV-Hop Algorithm(MCB3D DV-Hop) was proposed.The algorithm sets two threshold parameters of hop and multicollincarity, and selects the good beacon node teams to realize the position estimate.Thcoretical analysis and simulations results show that our proposed method works well.

Key words: Multicollincarity, Three dimensional localization, DV-Hop

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