北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2013, Vol. 36 ›› Issue (3): 88-91,107.doi: 10.13190/jbupt.201303.91.tanzh

• 研究报告 • 上一篇    下一篇

无线传感器网络RSSI定位算法的研究与改进

谭志, 张卉   

  1. 北京建筑大学 电信学院, 北京 100044
  • 收稿日期:2012-07-13 出版日期:2013-06-30 发布日期:2013-06-30
  • 作者简介:谭 志(1970—), 男, 副教授, E-mail: bupt_tanzhi@yahoo.com.cn.
  • 基金资助:

    北京市教育委员会科技发展计划面上项目(KM201110016015); 北京市属高等学校人才强教计划项目(PHR201008374)

A Modified Mobile Location Algorithm Based on RSSI

TAN Zhi, ZHANG Hui   

  1. Institute of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
  • Received:2012-07-13 Online:2013-06-30 Published:2013-06-30

摘要:

为了克服接收信号强度指示(RSSI)测量误差对无线传感器网络节点自身定位精度的影响,提出一种改进的RSSI测距定位算法. 该算法考虑到参考节点间的几何位置,可获得最优参考节点. 将同一参考节点采集到的RSSI值通过中位数法进行数据处理,获得RSSI权值,对RSSI值进行修正. 最后利用加权质心算法,得到未知节点的位置. 仿真结果表明,该算法能有效过滤过大的节点定位误差,提高精确,使误差相比原始算法降低60%左右.

关键词: 接收信号强度指示, 定位, 中位数

Abstract:

A modified mobile location algorithm based on received signal strength indication (RSSI) is presented. The geometric location of the anchor node is taken into account with the revised positioning algorithm. And then the common line of the three reference nodes is excluded to get the best three reference nodes. RSSI values gives that the same reference node collected takes the median. According to the median of the RSSI values, RSSI values are amended. Finally, the unknown node is located by using the weighted centric algorithm. The algorithm didn’t need additional hardware cost, but easy to implement. It improves the positioning accuracy and suits for the positioning of nodes on wireless sensor networks when their operation abilities and power supplies are restricted.

Key words: received signal strength indication, localization, median

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