Exploring the switching energy effect in a dynamic power management technique for wireless sensor networks

P. S. Sausen, J. R.B. Sousa, M. A. Spohn, A. Perkusich, A. M.N. Lima

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Pages2260-2265
Number of pages6
DOIs
StatePublished - 2007
Externally publishedYes
Event33rd Annual Conference of the IEEE Industrial Electronics Society, IECON - Taipei, Taiwan, Province of China
Duration: 5 Nov 20078 Nov 2007

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Country/TerritoryTaiwan, Province of China
CityTaipei
Period5/11/078/11/07

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