摘要
节点定位是无线传感器网络中的重要应用之一。为了抑制RSSI测距技术的误差对无线传感器节点定位精度的影响,通过对RSSI测距模型进行分析,提出了一种基于最小二乘法的RSSI测距环境参数修正方案。该方法使用最小二乘法拟合方法对环境参数进行修正,以消除各种干扰对测量数据的影响,以提高RSSI测距的精度,为高精确定位打下基础。实验和仿真结果表明,采用环境参数修正方案后,明显提高了测距的精度。
Localization of nodes is an important application of wireless sensor network.In order to suppress effectively the effects of RSSI error to WSN node localization precision.In this paper,RSSI-based distance estimated model was studied and analyzed,and provide a parameter calibration method based on the least square algorithm.The method uses least square method to amend the data to dispel the influence caused by all kinds of molestation.Thus the positioning accuracy of entire network can be improved.Simulation results show that the proposed calibration method performs well in distance estimate accuracy.
出处
《计算机系统应用》
2012年第2期221-224,共4页
Computer Systems & Applications
关键词
无线传感器网络
定位
RSSI测距
最小二乘算法
wireless sensor networks
localization
distance measurement based on RSSI
the least square algorithm
