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计算机工程

所属专题: WSN专题

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基于垂直平分线的无线传感器网络定位改进算法

董海棠1,万国峰2,骆岩红2   

  1. (1. 兰州交通大学机电工程学院,兰州730070; 2. 西北民族大学电气工程学院,兰州730030)
  • 收稿日期:2014-04-23 出版日期:2015-04-15 发布日期:2015-04-15
  • 作者简介:董海棠(1973 - ),女,副教授、硕士,主研方向:无线传感器网络,测控技术;万国峰,教授;骆岩红,讲师、博士研究生。
  • 基金资助:

    中央高校基本科研业务费专项基金资助项目(319201300160);甘肃省高等学校基本科研业务费专项基金资助项目(213054)。

Improved Midnormal-based Localization Algorithm for Wireless Sensor Network

DONG Haitang 1,WAN Guofeng 2,LUO Yanhong 2   

  1. (1. School of Mechatronic Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China; 2. School of Electrical Engineering,Northwest University for Nationality,Lanzhou 730030,China)
  • Received:2014-04-23 Online:2015-04-15 Published:2015-04-15

摘要:

针对传统基于垂直平分线的区域定位算法定位精度低、迭代次数多等缺点,提出一种改进的垂直平分线算法IMBLA。根据未知节点接收到的两锚节点接收信号强度指示(RSSI)值的比值,移动两锚点的垂直平分线,再确定待定位节点与垂直平分线的位置关系。该算法应用基于参考锚节点的高斯校正模型进行RSSI 测距,包括有障碍物时的模型,不但适合各种环境,还能有效防止恶意攻击。仿真结果表明,与MBLA 和IPAIT 算法相比,IMBLA算法的定位精度和网络覆盖率较高。

关键词: 无线传感器网络, 节点定位, 接收信号强度, 测距, 恶意攻击

Abstract:

Traditional area location algorithms based on midnormal have low positioning accuracy and number of iterations. Aiming at these problems,an Improved Midnormal-based area Localization Algorithm(IMBLA) is proposed in this paper. According to the value ratio of Received Signal Strength Indicator ( RSSI ) of two anchor nodes which unknown node receives,it moves two midnormals of the anchor,to determine the position relationship between a node and the midnormal. The algorithm does the RSSI raging using Gaussian correction model based on the reference anchor node, and puts forward the model in the presence of obstacles,which not only is suitable for a variety of environment,but also can effectively prevent malicious attacks. The simulation results show that,compared with MBLA and IPAIT algorithm, the IMBLA algorithm has higher positioning accuracy and coverage rate.

Key words: Wireless Sensor Network(WSN), node localization, received signal strength, ranging, malicious attack

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