节点文献
一种基于测距的无线传感器网络智能定位算法
An Intelligent Localization System Based on RSSI Ranging Technique for WSN
【摘要】 提出了一种基于测距的无线传感器网的智能定位算法。建立了RSSI的理论计算模型;通过引入加权因子改进了DV-Distance定位算法(IDV-Distance)。实验结果表明:改进后的定位算法提高了定位精度,改善了系统的稳定性。
【Abstract】 An intelligent localization system based on RSSI for WSN is proposed. A RSSI( Signal Strength Indicator) model is established based on the study of RSSI theoretical model, and DV-Distance algorithm is improved by adding in weighted factors, which is completed on TinyOS. It is proved by practical experiment that the improved DV-Distance has the advantage of precision and stabilization than the standard DV-Distance, so it is appropriate to apply to wireless sensor networks.
【关键词】 IDV-Distance定位算法;
加权因子;
RSSI测距模型;
Cramer-Rao下界;
RSSI模型智能校正;
【Key words】 improved DV-Distance localization algorithm; weighted factors; RSSI rang model; cramer-rao low bound; intelligent amending of RSSI model;
【Key words】 improved DV-Distance localization algorithm; weighted factors; RSSI rang model; cramer-rao low bound; intelligent amending of RSSI model;
【基金】 教育部博士点基金资助(20050699037);国防科工委基础研究项目资助(D3320060259)
- 【文献出处】 传感技术学报 ,Chinese Journal of Sensors and Actuators , 编辑部邮箱 ,2008年01期
- 【分类号】TP212.9;TN929.5
- 【被引频次】84
- 【下载频次】1372