Title :
Realizing mobile node tracking in wireless sensor network based on Kalman filter
Author :
Chen, Yiping ; Ni, Dongkang ; Zhang, Liping ; Deng, Chen
Author_Institution :
Coll. of Electron. & Electr. Eng., Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
In this paper a novel method for tracking moving objects in wireless sensor network is presented. Firstly, the observed position is estimated by a moving object localization algorithm based on Received Signal Strength Indication (RSSI). Then, the estimated position is filtered by a Kalman filter in order to obtain a smoothed trajectory of moving objects movement. Simulation results show the effectiveness of presented algorithm in indoor environments.
Keywords :
Kalman filters; object tracking; radio tracking; wireless sensor networks; Kalman filter; mobile node tracking; moving object localization algorithm; moving object tracking; received signal strength indication; wireless sensor network; Covariance matrix; Estimation error; Kalman filters; Tracking; White noise; Kalman filter; RSSI; Tracking; location;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014726
