Abstract
Focused on energy efficiency issues under tracking targets within wireless sensor networks (WSNs), a new dynamic power management (DPM) method for tracking distributed targets is proposed in this paper combining with the network energy consumption model and wake-up mechanism. With precedent location information of maneuvering target, the algorithm involved both cancelling noise by wavelet filter and predicting target state by autoregressive transformation is introduced to awaken wireless sensor nodes so that their sleep time is prolonged and energy consumption is reduced. According to the current location of maneuvering target, related nodes in an appointed cluster of WSNs constitute a distributed dynamic tracking unit, and the cluster head is responsible for collecting the measurement information from the nodes in the tracking unit. Simulation results show that: The dynamic energy optimization method and tracking algorithms presented in this paper can effectively in reducing the energy cost of the node to extend the life of node and network, which are fully applicable to the battlefield maneuvering target tracking on the ground.
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Acknowledgments
This study is supported by the National Natural Science Foundation of China (60971016), the Fundamental Research Funds for the Central Universities of China (CDJXS10 16 11 13, CDJXS11 16 00 01), the Research Project of the Education Committee of Chongqing (KJ112201, KJ110508) and the Natural Science Foundation Project of CQ (cstc2011jjA40047, cstc2012jjB40010).
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© 2013 Springer-Verlag London
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Zhang, S., Li, G., Xiao, L., Wang, L., Zhou, Xn. (2013). Distributed Targets Tracking with Dynamic Power Optimization for Wireless Sensor Networks. In: Du, W. (eds) Informatics and Management Science IV. Lecture Notes in Electrical Engineering, vol 207. Springer, London. https://doi.org/10.1007/978-1-4471-4793-0_26
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DOI: https://doi.org/10.1007/978-1-4471-4793-0_26
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