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基于RSSI自适应三维加权质心定位算法
引用本文:董君,李吉彪.基于RSSI自适应三维加权质心定位算法[J].电子科技,2015,28(7):81.
作者姓名:董君  李吉彪
作者单位:(河南机电高等专科学校 实验管理中心,河南 新乡 453003)
摘    要:针对无线传感网络RSSI加权质心定位算法精度较低的问题,提出了一种采用RSSI值作为加权因子的三维加权质心定位算法。依据RSSI值自适应缩小定位区域,并根据筛选出的最优参考节点构建三维球体定位模型。仿真结果表明,改进的定位算法在相同测试条件下,在精度与稳定性上相较传统加权质心算法有了大幅提高。

关 键 词:自适应  最优参考节点  交点坐标  RSSI加权因子  

Adaptive Three Dimension Weighted Centroid Localization Algorithm Based on RSSI
DONG Jun,LI Jibiao.Adaptive Three Dimension Weighted Centroid Localization Algorithm Based on RSSI[J].Electronic Science and Technology,2015,28(7):81.
Authors:DONG Jun  LI Jibiao
Affiliation:(Experiment Management Center,Henan Mechanic and Electric Engineering College,Xinxiang 453000,China)
Abstract:A three dimension weighted centroid localization algorithm with RSSI as the weighted factors is introduced for the poor accuracy of wireless sensor network RSSI weighted centroid localization algorithm.Adaptive narrowing of location areas is performed through RSSI,and a three-dimensional sphere positioning model is constructed according to the selected optimal reference nodes.It is shown by simulation experiments that the improved algorithm achieves better precision and stability than the traditional weighted centroid algorithm.
Keywords:adaptive  optimal reference node  intersection point coordinate  RSSI weighted factor  
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