基于接收信号强度指示加权融合的质心定位算法

针对当前无线传感器网络质心定位算法在参考节点分布不均匀时定位误差较大,提出了一种基于RSSI加权融合的质心定位算法.通过将离未知节点距离由近到远的每三个参考节点组成三角形定位单元,运用传统质心算法产生质心,这样确保了质心的有效性.分析了影响定位精度的因素,通过加权因子来体现不同参考节点对质心坐标决定权的大小,并确定了各因素的权值.最后进行加权融合处理,使得整个定位精度得到了很大的提高.仿真结果表明,所提算法较之前的加权质心算法定位精度有了明显提高,最高可达38.41％.

Centroid Localization Algorithm Based on RSSI Weighted Fusion

For the localization error of the current wireless sensor network centroid localization algorithm is large when the refer- ence node distribution is uniform,a centroid localization algorithm based on RSSI weighted fusion is proposed.Composite each of the three reference nodes which are away from the unknown node from near to far to triangular Iocalization unit, use the traditional centroid algorithm to generate the centroid,and that ensures the effectiveness of the centroids.Analyze the factors which are affecting the localization accuracy,reflect the size of decision to determine the coordinates of the centroids from each reference node by weighted factors and determine the weights of each factors.Finally deal with the localization coordinates by weighted fusion and it makes the entire localization accuracy to be greatly improved.