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Enhanced Monte Carlo Localization and Tracking Algorithm for Mobile Wireless Sensor Network |
Wang Jie; Wang Hong-yu; Gao Qing-hua; Jin Ming-lu |
School of Electronics and Information Engineering, Dalian University of Technology, Dalian 116023, China |
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Abstract A localization and tracking algorithm suitable for mobile wireless sensor network is proposed. The algorithm uses controlled flood method to improve the using efficiency of the anchor nodes, uses cross operation to accelerate the sampling process and interpolation operation to predict the velocity and angle. An estimate precision function is also proposed so that one node could make the full use of all of the outstanding neighbor nodes’ information. Simulation results show that the algorithm outperforms the traditional algorithm in the convergence speed, localization accuracy and the requirement of anchor density.
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Received: 10 April 2009
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Corresponding Authors:
Wang Jie
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