吉林大学学报(信息科学版) ›› 2014, Vol. 32 ›› Issue (4): 333-338.

• 论文 •    下一篇

无线传感网中定位算法研究

张现利, 张丽翠, 朱晓男, 孟晓龙   

  1. 吉林大学 通信工程学院, 长春 130012
  • 收稿日期:2013-09-05 出版日期:2014-07-24 发布日期:2014-12-18
  • 作者简介:张现利(1990—), 女, 河南新乡人, 吉林大学硕士研究生, 主要从事无线传感器网络定位技术研究, (Tel)86-15948358251(E-mail)zlc67961@126.com; 张丽翠(1967—), 女, 长春人, 吉林大学副教授, 主要从事无线传感器网络及Ad Hoc网络研究, (Tel)86-13620798629(E-mail)zlc67961@163.com。
  • 基金资助:

    吉林省科技发展计划基金资助项目(201205093)

Research on Localization Algorithm of Wireless Sensor Network

ZHANG Xianli, ZHANG Licui, ZHU Xiaonan, MENG Xiaolong   

  1. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2013-09-05 Online:2014-07-24 Published:2014-12-18

摘要:

为了利用无线传感器网络对物体实现更加精确的定位, 通过对接收信号强度指示(RSSI: Received Signal Strength Indicator)定位算法进行仿真与性能分析, 确定了算法的误差来源,讨论了未知节点的邻居锚节点密度对定位精度的影响。根据仿真和数据分析选取合适邻居节点的个数, 进而采用了更加精细的算法即利用RSSI平均值选取最优值剔除失真数据, 以提高定位的精确度。实验结果表明, 在相同的环境下改进算法使定位误差由0~5 m减少到0~1 m, 平均误差由1 m左右减少到0.1 m左右, 提高了定位精度。

关键词: 无线传感器网络, 定位算法, 接收信号强度指示, 精度

Abstract:

In order to take advantage of the wireless sensor network to achieve more precise positioning of objects, the aims is to study and improve RSSI(Received Signal Strength Indicator) localization algorithm. According to the simulation and performance analysis on RSSI localization algorithm, the experiment determined the source of algorithm's errors. The influence of the number of neighbor bencon nodes on the positioning accuracy is discussed, and the appropriate number is selected according to the simulation figures and the data. Used the average value of RSSI to select the optimal value and eliminate the distortion data. The experi
mental results show that in the improved algorithm the localization error is reduced from 0~5 m to 0~1 m, and the average error is reduced from 1 meters down to
 0.1 m in the same environment, improving the localization accuracy.

Key words: wireless sensor network, localization algorithm, received signal strength indicator(RSSI), accuracy

中图分类号: 

  •