Abstract
Context-aware power management (CAPM) uses context (e.g., user location) likely to be available in future ubiquitous computing environments, to effectively power manage a building’s energy consuming devices. The objective of CAPM is to minimise overall energy consumption while maintaining user-perceived device performance.
The principal context required by CAPM is when the user is not using and when the user is about to use a device. Accurately inferring this user context is challenging and there is a balance between how much energy additional context can save and how much it will cost energy wise. This paper presents results from a detailed user study that investigated the potential of such CAPM.
The results show that CAPM is a hard problem. It is possible to get within 6% of the optimal policy, but policy performance is very dependent on user behaviour. Furthermore, adding more sensors to improve context inference can actually increase overall energy consumption.
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Harris, C., Cahill, V. (2007). An Empirical Study of the Potential for Context-Aware Power Management. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds) UbiComp 2007: Ubiquitous Computing. UbiComp 2007. Lecture Notes in Computer Science, vol 4717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74853-3_14
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DOI: https://doi.org/10.1007/978-3-540-74853-3_14
Publisher Name: Springer, Berlin, Heidelberg
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