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Exploiting user behaviour for contextaware power management.
Proceedings of IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005. (WiMob'2005) IEEE International Conference On Wireless and Mobile Computing, Networking and Communications
Colin Harris and Vinny Cahill., Exploiting user behaviour for contextaware power management., Proceedings of IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005. (WiMob'2005), IEEE International Conference On Wireless and Mobile Computing, Networking and Communications, 22-24 Aug, 4, IEEE Computer Society, 2005, 122-130
With more and more computing devices being
deployed in buildings there has been a steady rise in buildings'
electricity consumption. At the same time there is a pressing need
to reduce overall building energy consumption. Pervasive
computing could further exacerbate this problem but it could
also provide a solution. Context information (e.g., user location)
likely to be available in pervasive computing environments could
enable highly effective device power management. The objective
of such context-aware power management (CAPM) is to
minimise the overall electricity consumption of a building while
maintaining acceptable user-perceived device performance.
To investigate the potential of CAPM we conducted
experimental trials for two simple location-aware power
management policies. Our results highlight the presence of two
distinct user behaviour patterns but also show that location alone
is not enough for effective power management.
We therefore propose a CAPM framework that employs
Bayesian Networks to support prediction of user behaviour
patterns from multi-modal sensor data for effective power
management. We further propose the use of acoustic data as an
interesting context for predicting finer-grained user behaviour.
The paper presents an initial evaluation of the resulting
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