基于RSSI测距修正的无线传感器网络四边形加权质心定位

针对无线传感器网络节点使用RSSI测距容易受外部环境影响以及考虑到实际应用中部分锚节点受环境影响出现本身精度差甚至无法定位的问题,提出了基于RSSI测距修正的四边形加权质心定位方法。首先采用高斯滤波器去除波动大的RSSI值,并使用中值加权方法对滤波后的RSSI值进行计算,得到最优的RSSI值；其次为了降低单个锚节点的权重使用四边形加权定位方法。最后对提出的方法进行仿真,实验结果表明本文提高了定位精度,且性能稳定。

Quadrilateral weighted centroid localization based on range correction of RSSI

Aiming at wireless sensor network nodes use of RSSI is easily affected by the external environment, and considering the fact that some anchor nodes are affected by the environment in the actual positioning process, the accuracy of itself is poor and even not cannot locate. A quadrilateral weighted centroid localization method based on RSS ranging correction is proposed. First, using the Gauss filter to remove the large fluctuation of the RSSI value, and use the method of weighted median filter RSSI value calculation, get the corrected RSSI value; secondly in order to reduce the weight of a single anchor node using weighted quadrilateral localization method. Finally, the experiment shows that the positioning accuracy is improved and the performance is stable.