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Exploring the Switching Energy Effect in a Dynamic Power Management Technique for Wireless Sensor Networks

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5 Author(s)
P. S. Sausen ; Universidade Regional do Noroeste do Estado do RS - UNIJUÍ, Ijuí - RS - Brazil. Email: ; J. R. B. Sousa ; M. A. Spohn ; A. Perkusich
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A wireless sensor network (WSN) comprises many sensor nodes each one containing a processing unit, one or more sensors, a power unit, and a radio for data communication. Nodes are power constrained, because they run on batteries, that in many cases cannot be easily replaced. In this paper present a novel dynamic power management technique, named Dynamic Power Management with Mode Switching (DPM-MS), derived from a more realistic analysis of the battery capacity recovery effect and the switching energy. This was only possible thanks to the application of a more realistic battery model (i.e., Rakhmatov-Vrudhula battery model). Preliminary results showed the potential for improving the battery lifetime by taking advantage of the battery recovery effect when a node transitions to a sleeping state, and mostly when transitions are scheduled after packet transmissions. Simulations results show that DPM-MS can provide real battery power recovery without compromising the timeliness of the applications running on the sensor network.

Published in:

Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE

Date of Conference:

5-8 Nov. 2007