Abstract
Energy is one of the critical constraints for the applications of sensor network. In the earlier target detection and tracking algorithm power saving is achieved by letting most of the non-border sensor nodes in the cluster stay in hibernation state. However, the border sensor nodes consume a significant amount of energy since they are supposed to be on all the time for target detection. In this paper we propose a new target detection scheme which lets the border sensor nodes be on shortly one after another in a circular fashion to minimize the energy consumption. Computer simulation shows that the proposed scheme can significantly reduce the energy consumption in target detection and tracking compared to the earlier scheme.
This research was supported in part by the Ubiquitous Autonomic Computing and Network Project, 21st Century Frontier R&D Program in Korea and the Brain Korea 21 Project in 2006.
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Trinh, T.H., Youn, H.Y. (2006). A New Energy Efficient Target Detection Scheme for Pervasive Computing. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758549_1
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DOI: https://doi.org/10.1007/11758549_1
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