计算机科学 ›› 2013, Vol. 40 ›› Issue (5): 115-117.

• 网络与通信 • 上一篇    下一篇

无线传感器网络在室内定位中的应用研究

吴彬,李俊娥   

  1. 武汉大学教育技术与教室管理中心 武汉430072;武汉大学计算机学院 武汉430072
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(1035639)资助

Application of Wireless Sensor Network in Indoor Localization

WU Bin and LI Jun-e   

  • Online:2018-11-16 Published:2018-11-16

摘要: 室内定位受到地板、墙壁、人员走动等因素的影响,易产生多径现象,使信号严重衰减,从而导致基于接收信号强度(RSSI)算法难以获得较高定位精度。为了提高室内环境下的无线传感器定位精度,针对室内特有的特点,利用RSSI和质心定位算法优点,提出一种组合的室内传感器节点定位方法。首先利用预先布置好的信标节点,读取目标节点的RSSI值,然后把RSSI值作为质心定位算法的权值,通过质心算法得到目标节点坐标,最后进行测试实验。结果表明,组合算法具有计算量小、定位精度高等优点,能够很好地满足室内环境定位要求。

关键词: 接收信号强度,室内定位,无线传感器网络,质心定位算法

Abstract: Indoor positioning is affected by the floor,wall,personnel ambulate,and is prone to multipath phenomenon to make case signal attenuate,so that the received signal strength (RSSI) algorithm can’t obtain high positioning accuracy.In order to improve positioning precision in the indoor environment,the paper used RSSI and centroid localization algorithm advantages to get a combination indoor sensor node localization method.Firstly,the destination node RSSI value was read by beacon nodes,and then the RSSI values were used as the weights of centroid localization algorithm,through the centroid algorithm the target node localization was obtained,and lastly,the test was carried out.The results show that the proposed algorithm has less calculation and high positioning precision,and it can well meet the requirements of indoor positioning.

Key words: Ceived signal strength,Indoor localization,Wireless sensor network,Centroid localization algorithm

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