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15400 Maximizing System Lifetime by Battery Scheduling
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Jongerden, M.R. and Haverkort, B.R.H.M. and Bohnenkamp, H.C. and Katoen, J.P. (2009) Maximizing System Lifetime by Battery Scheduling. In: Proceedings of the 39th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009, 29 jun - 2 jul 2009, Estoril, Portugal. pp. 63-72. IEEE Computer Society. ISBN 978-1-4244-4421-2

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Official URL: http://dx.doi.org/10.1109/DSN.2009.5270351

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Abstract

The use of mobile devices is limited by the battery lifetime. Some devices have the option to connect an extra battery, or to use smart battery-packs with multiple cells to extend the lifetime. In these cases, scheduling the batteries over the load to exploit recovery properties usually extends the system lifetime. Straightforward scheduling schemes, like round robin or choosing the best battery available, already provide a big improvement compared to a sequential discharge of the batteries. In this paper we compare these scheduling schemes with the optimal scheduling scheme produced with a priced-timed automaton battery model (implemented and evaluated in Uppaal Cora). We see that in some cases the results of the simple scheduling schemes are close to optimal. However, the optimal schedules also clearly show that there is still room for improving the battery lifetimes.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DACS: Design and Analysis of Communication Systems, EWI-FMT: Formal Methods and Tools
Research Program:CTIT-DSN: Dependable Systems and Networks
Uncontrolled Keywords:Scheduling, Embedded Systems, Batteries, Lifetime, Kinetic Battery Model, Priced-Timed Automata
ID Code:15400
Status:Published
Deposited On:08 September 2009
Refereed:Yes
International:Yes
More Information:statisticsmetis

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