J4 ›› 2009, Vol. 27 ›› Issue (02): 167-.

• 论文 • 上一篇    下一篇

无线传感器网络二维协作式定位方法

杜巧玲a,b,钱志鸿b,王树勋b
  

  1. 吉林大学 1电子科学与工程学院,长春 130012;b通信工程学院,长春 130022
  • 出版日期:2009-03-20 发布日期:2009-07-06
  • 通讯作者: 杜巧玲(1978— ),女,吉林通化人,吉林大学博士研究生,讲师,主要从事无线传感器网络定位技术研究 E-mail:duql@jlu.edu.cn
  • 作者简介:杜巧玲(1978— ),女,吉林通化人|吉林大学博士研究生|讲师|主要从事无线传感器网络定位技术研究,(Tel)86-13578625405 (E-mail) duql@jlu.edu.cn;钱志鸿(1957— ),男|长春人|吉林大学教授|博士生导师|主要从事无线网络与通信系统、基于蓝牙和Zigbee的无线个域网的理论与应用、超宽带(UWB)无线通信系统、无线网络系统的信号分析和处理的研究|(Tel)86-13504415955(E-mail) dr.qzh@163.com。

Cooperative Location Scheme for 2D Wireless Sensor Networks

DU Qiao-linga,b,QIAN Zhi-hongb,WANG Shu-xunb   

  1. a. College of Electronic Science and Engineering, Jilin University,Changchun 130012,China; b. College of Communication Engineering, Jilin University,Changchun 130022,China
  • Online:2009-03-20 Published:2009-07-06

摘要:

针对精度传统定位方式下的节点定位精度低的问题,讨论和研究了WSN(Wireless Sensor Network)网络中的节点定位精度问题。在基于RSSI(Received Signal Strength Indicator)无线传感器网络定位技术的基础上,通过分析二维位置参数估计的CRB(Cramr-Rao Bound)值,比较了传统定位方式下和协作方式下的位置估计,提出了设定阈值的协作式定位方法。该方法使部分节点在传统方式下定位,而部分节点在协作方式下定位。Matlab仿真实验证明,该定位方法能提高网络节点的定位精度。

关键词: 无线传感器网络, 相对位置估计, 接收信号强度指示, 克拉美-罗界, fisher信息矩阵, 协作定位

Abstract:

Accuracy of traditional methods for positioning the node under the low positioning accuracy problem, discussion and study of the WSN (Wireless Sensor Network) network node positioning accuracy problem, based on RSSI (Received Signal Strength Indicator) wireless sensor network positioning technology,by analyzing the two-dimensional location parameter estimation CRB (Cramr- Rao Bound) value, compared to traditional positioning methods and collaborative approach of the location estimate, put forward a set threshold of collaborative positioning methods. This method is some node positioning in the traditional manner, while some nodes in the collaborative approach of positioning. Matlab simulation results show that the positioning method can improve the positioning accuracy of network nodes.

Key words: wireless sensor networks, relative location estimation, received signal strength indicator, cramr-rao bound, fisher information matrix, cooperative positioning

中图分类号: 

  • TP212.9