东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (8): 1094-1097.DOI: -

• 论著 • 上一篇    下一篇

基于RSSI均值的等边三角形定位算法

朱剑;赵海;孙佩刚;毕远国;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;沈阳炮兵学院基础部;辽宁沈阳110062;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-08-15 发布日期:2013-06-24
  • 通讯作者: Zhu, J.
  • 作者简介:-
  • 基金资助:
    国家发改委高技术产业化示范工程项目[(2001)2167];;

Equilateral triangle localization algorithm based on average RSSI

Zhu, Jian (1); Zhao, Hai (1); Sun, Pei-Gang (1); Bi, Yuan-Guo (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Department of Fundamental Courses, Shenyang Artillery Academy, Shenyang 110062, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-08-15 Published:2013-06-24
  • Contact: Zhu, J.
  • About author:-
  • Supported by:
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摘要： 为了提高无线传感网络的定位精度,从提高测量精度、改善信标节点分布的角度提出了一种基于RSSI均值的等边三角形定位算法.该算法引入信号强度指示(RSSI)敏感区和非敏感区概念,采用高斯模型对非敏感区的RSSI数据进行处理,解决了RSSI易受干扰的问题.采用等边三角形分布模型处理信标节点的分布,保证未知节点运动轨迹始终在信标节点的非敏感区内,从而在定位算法上使测量精度得到提高.研究表明,高斯模型可以很好地筛选出RSSI较优值;等边三角形分布模型可以提高RSSI的采集优度.这种定位算法计算简单,定位过程中节点间无通讯开销,无需硬件扩展.

关键词: 无线传感网络, 信标节点, 等边三角形定位, 高斯模型, RSSI(信号强度指示)

Abstract: To get high precision of localization in WSNs (wireless sensor networks), an equilateral triangle localization algorithm based on average RSSI is brought up, taking account mainly of the measurement precision and improvement of the distribution of beacon nodes. This algorithm presents two concepts: sensitive region and insensitive region of RSSI. It introduces Gauss model to deal with the RSSI which is got from in sensitive region, then the problem that RSSI is easy to be interfered is resolved. And the equilateral triangle distribution model is used to deal with the distribution of beacon nodes to ensure that the tracks of unknown nodes are always kept within the insensitive region, thus improving the measurement precision. A conclusion is drawn that the Gauss model can screen out the first-class RSSI well and the equilateral triangle distribution model can improve the acquisition precision. This algorithm is easy to implement and no communication expense and extended hardware are required.

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