摘要
针对三维空间中的节点定位精度低的问题,本文将RSSI作为节点定位研究的对象,分析了RSSI中的权重选择存在的问题,提出了使用加权最小二乘估计算法和采用信噪比来优化定位效果,首先使用二乘估计算法验证了存在的误差,其次将信噪比作为二乘算法的权值,最后通过加权计算提高未知节点的定位精度,在仿真实验中,从算法定位效果、锚节点数量、未知节点定位数量和节点能量消耗四个方面说明了本文算法的有效性。
Aiming at the low accuracy of node localization in 3 D space,this paper takes RSSI as the subject of node localization research,analyzes problems in choosing weight in RSSI,and proposes to use the weighted least square estimation algorithm and signal-to-noise ratio to optimize the localization effects.First of all,square estimation algorithm is used to verify the existing errors,and then signal-to-noise ratio is used as the weight of square algorithm. Finally,weighted calculation is used to improve the accuracy of localizing unknown nodes. The simulation experiment shows the effectiveness of algorithm in this paper from four aspects: localization effect of the algorithm,the number of anchor nodes,and the number of unknown nodes,energy consumption of nodes.
出处
《科技通报》
2018年第5期203-207,共5页
Bulletin of Science and Technology
