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Realizing mobile node tracking in wireless sensor network based on Kalman filter

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4 Author(s)
Yiping Chen ; College of Electronic and Electrical Engineering Shanghai University of Engineering Science Shanghai, China ; Dongkang Ni ; Liping Zhang ; Chen Deng

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.

Published in:

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Date of Conference:

27-29 May 2011