基于优化RSSI精度的WSN加权质心定位算法

计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (21): 88-91.

基于优化RSSI精度的WSN加权质心定位算法

彭泓，赵阳，夏天鹏

辽宁工程技术大学电气控制学院，辽宁葫芦岛 125105

出版日期:2015-11-01 发布日期:2015-11-16

RSSI accuracy WSNs based on optimized weighted centroid localization algorithm

PENG Hong, ZHAO Yang, XIA Tianpeng

Institute of Electrical Control, Liaoning Technical University, Huludao, Liaoning 125105, China

Online:2015-11-01 Published:2015-11-16

摘要/Abstract

摘要： 为消弱接收信号强度指示误差对无线传感器网络节点定位精度的影响，提出基于优化接收信号强度指示测距精度的加权质心定位算法。该算法根据接收信号强度指示（RSSI）和链路质量指示（LQI）在不同距离段的衰落曲线起伏的波动状况，采用分段测距的方法优化RSSI的测距精度，接着将优化后的距离值作为加权质心算法的权值因子对节点进行定位，进而提高定位精度。实验结果验证了该优化算法的有效性。

关键词: 接收信号强度指示（RSSI）, 质心定位算法, 分段测距, 链路质量指示（LQI）

Abstract: To weaken the received signal strength indication error of wireless sensor network node positioning accuracy, this paper proposes a weighted centroid localization algorithm to optimize the received signal strength indicator ranging precision. The algorithm is based on the Received Signal Strength Indicator （RSSI） and the Link Quality Indicator （LQI） in the fluctuation of the fading fluctuation curves at different distances. It uses the method of piecewise ranging accuracy optimization RSSI, then the optimized distance is valued as the weight factor weighted centroid algorithm to locate the node, so it improves the positioning accuracy. Simulation results show the validity of the optimization algorithm.

Key words: Received Signal Strength Indicator（RSSI）, centroid localization algorithm, segments ranging, Link Quality Indicator（LQI）

彭泓，赵阳，夏天鹏. 基于优化RSSI精度的WSN加权质心定位算法[J]. 计算机工程与应用, 2015, 51(21): 88-91.

PENG Hong, ZHAO Yang, XIA Tianpeng. RSSI accuracy WSNs based on optimized weighted centroid localization algorithm[J]. Computer Engineering and Applications, 2015, 51(21): 88-91.

[1]	李石荣，李飞腾. 基于RSSI概率统计分布的室内定位方法[J]. 计算机工程与应用, 2016, 52(11): 119-124.
[2]	于泉，徐保国. 无线传感器网络中改进的DV-Hop算法[J]. 计算机工程与应用, 2015, 51(15): 92-95.