Abstract
A prediction based energy-efficient target tracking protocol in wireless sensor networks (PET) was proposed for tracking a mobile target in terms of sensing and communication energy consumption. In order to maximize the lifetime of a wireless sensor network (WSN), the volume of messages and the time for neighbor discovery operations were minimized. The target was followed in a special region known as a face obtained by planarization technique in face-aware routing. An election process was conducted to choose a minimal number of appropriate sensors that are the nearest to the target and a wakeup strategy was proposed to wakeup the appropriate sensors in advance to track the target. In addition, a tracking algorithm to track a target step by step was introduced. Performance analysis and simulation results show that the proposed protocol efficiently tracks a target in WSNs and outperforms some existing protocols of target tracking with energy saving under certain ideal situations.
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Foundation item: Project(07JJ1010) supported by the Hunan Provincial Natural Science Foundation, China; Project(NCET-06-0686) supported by Program for New Century Excellent Talents in University; Project(IRT0661) supported by Program for Changjiang Scholars and Innovative Research Team in University
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Bhuiyan, M.Z.A., Wang, Gj., Zhang, L. et al. Prediction-based energy-efficient target tracking protocol in wireless sensor networks. J. Cent. South Univ. Technol. 17, 340–348 (2010). https://doi.org/10.1007/s11771-010-0051-1
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DOI: https://doi.org/10.1007/s11771-010-0051-1