Study on WSN Localization Algorithm and Simulation Model for Intelligent Transportation System  

作　　者：Lian-zhou GAO 

机构地区：[1]Henan Vocational and Technical College of Communications, ZhengZhou Henan, 450005, China

出　　处：《International Journal of Technology Management》2013年第2期23-27,共5页国际技术管理

摘　　要：This paper conducts research on the algorithm to improve the location of Wireless Sensor Network （WSN） in Intelligent Transportation System （ITS）. The localization algorithm introduced an improved RSSI vehicle localization algorithm based on multi-path effect and Gaussian white noise. The localization results under different values of Gaussian white noise and different density of beacon nodes are analyzes, and Kalman filtering algorithm is introduced to reduce the influence of signal noise. Finally, a simulation model of ITS is developed to test the algorithm based on mixed noise and Kalman filtering algorithm, which is used to simulate the localization of real vehicles. The simulation shows the algorithm has effect to improve location accuracy and to application

关 键 词：Intelligent Transportation System Wireless Sensor Network vehicle localization Gaussian white noise Kalman filteringalgorithm 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] U491[自动化与计算机技术—控制科学与工程]