本文已被：浏览 1779次 下载 6703次
Received:June 10, 2011 Revised:July 18, 2011
Received:June 10, 2011 Revised:July 18, 2011
中文摘要: 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。
Abstract: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.
keywords: wireless sensor networks localization distance measurement based on RSSI the least square algorithm
文章编号： 中图分类号： 文献标志码：
基金项目:
引用文本：
杜亚江,高立兵.基于最小二乘法的RSSI 测距环境参数修正方案.计算机系统应用,2012,21(2):221-224
DU Ya-Jiang,GAO Li-Bing.RSSI Parameter Calibration Method Based on the Least Square Algorithm.COMPUTER SYSTEMS APPLICATIONS,2012,21(2):221-224
杜亚江,高立兵.基于最小二乘法的RSSI 测距环境参数修正方案.计算机系统应用,2012,21(2):221-224
DU Ya-Jiang,GAO Li-Bing.RSSI Parameter Calibration Method Based on the Least Square Algorithm.COMPUTER SYSTEMS APPLICATIONS,2012,21(2):221-224
