摘要
针对传统的基于RSSI的加权质心定位算法中使用静态权重因子指数只能使部分区域的误差得到明显改善而其他区域的误差相对较大的现象,提出了一种基于动态权重指数的四点定位算法。在矩形区域中,通过构造权重因子指数矩阵,使不同区域拥有相对最优权重因子指数。在实际运算时,首先通过传统加权质心算法判断未知节点的大致位置;然后通过查询指数矩阵确定相对最优权重因子指数并重新计算未知节点坐标,并作为未知节点实际坐标。通过仿真实验,其结果表明,该算法较传统的加权质心定位算法明显地降低了定位中的平均误差及最小误差,提高了精度,并且运算量小,硬件要求简单,有很广泛的应用价值。
For the traditional RSSI-based weighted centroid localization algorithm,the static weighting factor index can only reduce the error of the partial region obviously,but the error of the other regions is still larger.To solve the problem,this paper presented four points location algorithm based on dynamic weighted index.In rectangular area,different regions had their own relative optimal weighted factor index by building weighted factor index matrix.In practice,the approximate location of unknown nodes could be determined through the traditional weighted centroid algorithm.The relative optimal weighting factor index could be built by querying the exponential matrix.Then,it recalculated the actual coordinates of the unknown node coordinates.The simulation results show that the proposed algorithm can reduce the average and minimum error and increase the accuracy and with slow computation complexity and simple hardware requirements.Therefore,this algorithm has a wide range of applications.
作者
王飞
童敏明
白琪
吴璇
Wang Fei;Tong Minming;Bai Qi;Wu Xuan(School of Information&Control Engineering,China University of Mining&Technology,Xuzhou Jiangsu 221008,China)
出处
《计算机应用研究》
CSCD
北大核心
2018年第9期2663-2665,共3页
Application Research of Computers
基金
"十三五"国家重点研发计划项目(2016YFC0801808)
关键词
RSSI
动态权重因子指数
四点定位
加权质心
RSSI
dynamic weighted factor index
four points location
weighted centroid
