Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (1): 213-215.

• 软件、算法与仿真 • 上一篇    下一篇

基于传输距离估计的无线传感网节点定位方法

李磊, 秦国军, 胡茑庆, 陈铠   

  1. 国防科技大学机电工程及自动化学院, 湖南, 长沙, 410073
  • 收稿日期:2007-08-31 修回日期:2007-12-12 出版日期:2009-01-20 发布日期:2010-01-03
  • 作者简介:李磊(1982- ),男,硕士研究生,主要研究方向为无线传感器网络开发与应用.E-mail:QINGuojunqgj@nudt.edu.cn
  • 基金资助:
    国家“863”计划资助课题(2006AA04Z423)

Wireless sensor node location approach based on transmission distance estimation

LI Lei, QIN Guo-jun, HU Niao-qing, CHEN Kai   

  1. Coll. of Mechatronics Engineering & Automation, National Univ. of Defence Technology, Changsha 410073, China
  • Received:2007-08-31 Revised:2007-12-12 Online:2009-01-20 Published:2010-01-03

摘要: 为降低无线传感网络节点定位对硬件的要求,提出一种新的基于链路质量指标或接收信号强度获取节点相对位置的实用型高适应性定位算法。在分析大量实测数据的基础上,利用两次分段拟合获取节点间距离与RSSI及信号发射节点电压之间的对应关系。通过基于CC2430芯片的ZigBee网络节点硬件平台,比较了室内环境下两类无线信号衰减特性拟合方式对距离换算精度的影响。结果表明,该方法能较好地估计两节点之间的距离,进而实现未知节点的定位。

Abstract: To reduce the requirement of hardware in wireless sensor node location,a new and adaptable node relative location approach based on link quality indication(LQI) or receive signal strength indication(RSSI) is investigated.After analyzing a vast amount of data,a two-step curve fitting method is studied to achieve the corresponding relationship between internode distance and RSSI as well as the sender voltage.Through applying the sensor network based on CC2430 and ZigBee protocol,the effects on the distance estimation of two types of fitting method for RF signal attenuation characteristics are discussed.The result shows that the given approach could estimate the diatance between two nodes and locate unknown nodes better.

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