Abstract
Energy is one of the most important resources in wireless sensor networks (WSN). Due to unattended nature of WSNs, it should be used smartly and efficiently to maximize lifetime. A map representing the residual energy of sensor nodes in the sensor field can be constructed, which is called as energy map. Depletion of energy in sensor nodes can be modeled as time-series. The grey models are considered to be the best tool for time–series prediction. In this paper, we propose a grey system theory-based prediction approach to construct the energy map for WSN. Simulation results show that our proposed approach outperforms various prediction based approaches for energy map construction.
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Katiyar, V., Chand, N., Soni, S. (2011). Grey System Theory-Based Energy Map Construction for Wireless Sensor Networks. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_12
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DOI: https://doi.org/10.1007/978-3-642-22720-2_12
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