Real-time localization estimator of mobile node in wireless sensor networks based on extended Kalman filter |
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| Authors: | TIAN Jin-peng ZHENG Guo-xin |
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| Institution: | Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China |
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| Abstract: | Localization of the sensor nodes is a key supporting technology in wireless sensor networks (WSNs). In this paper, a real-time
localization estimator of mobile node in WSNs based on extended Kalman filter (KF) is proposed. Mobile node movement model
is analyzed and online sequential iterative method is used to compute location result. The detailed steps of mobile sensor
node self-localization adopting extended Kalman filter (EKF) is designed. The simulation results show that the accuracy of
the localization estimator scheme designed is better than those of maximum likelihood estimation (MLE) and traditional KF
algorithm. |
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| Keywords: | wireless sensor networks (WSNs) node location localization algorithm Kalman filter (KF) |
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