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Fuzzy Information Three-dimensional Localization Algorithm Based on Mobile Anchor Node

DANG Xiaochao 1,2,LI Fenfang 1,HAO Zhanjun 1,2   

  1. (1. College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China; 2. Gansu Province Internet of Things Engineering Research Center,Lanzhou 730070,China)
  • Received:2014-08-12 Online:2015-05-15 Published:2015-05-15

基于移动锚节点的模糊信息三维定位算法

党小超1,2,李芬芳1,郝占军1,2   

  1. (1. 西北师范大学计算机科学与工程学院,兰州730070; 2. 甘肃省物联网工程研究中心,兰州730070)
  • 作者简介:党小超(1963 - ),男,教授,主研方向:无线传感器网络;李芬芳,硕士研究生;郝占军(通信作者),讲师。
  • 基金资助:
    国家自然科学基金资助项目(61363059);西北师范大学青年教师科研能力提升计划基金资助项目(NWNU-LKQN-13-24)。

Abstract: In order to effectively reduce the influence of the complex environment factors having on node localization accuracy in Wireless Sensor Network(WSN),this paper proposes a node localization algorithm in three-dimensional space based on the mobile anchor node and the fuzzy information among the nodes. The node localization is determined by measuring direction angle and pitch angle. The algorithm updates the speed and direction of anchor node and the located nodes act as the static anchor nodes to localize other nodes. Simulation results show that the algorithm improves the accuracy of node localization and lower the delay and energy consumption of networks compared with the APIT-3D and Bounding cube algorithms.

Key words: Wireless Sensor Network ( WSN ), node localization, mobile anchor node, static anchor node, fuzzy information, localization accuracy

摘要: 为有效抑制复杂环境对无线传感器网络节点定位精度的影响,在三边定位的基础上,基于移动锚节点和节 点之间的模糊信息,提出一种三维空间中的节点定位算法(MANLFI)。该算法通过测量锚节点和未知节点的方向 角、俯仰角实现节点定位,每轮定位结束后更新锚节点的速度和方向,节点被定位后充当静态锚节点对其他节点定 位。仿真实验结果表明,与APIT-3D 和Bounding cube 算法相比,MANLFI 算法可提高节点定位精度和网络稳定 性,且时延短、能耗低。

关键词: 无线传感器网络, 节点定位, 移动锚节点, 静态锚节点, 模糊信息, 定位精度

CLC Number: