Unsupervised Power Profiling for Mobile Devices

Mikkel Kjærgaard; Henrik Blunck

Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers

Research Article

Unsupervised Power Profiling for Mobile Devices

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@INPROCEEDINGS{10.1007/978-3-642-30973-1_12,
    author={Mikkel Kj\c{c}rgaard and Henrik Blunck},
    title={Unsupervised Power Profiling for Mobile Devices},
    proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers},
    proceedings_a={MOBIQUITOUS},
    year={2012},
    month={10},
    keywords={power profiling mobile devices power consumption},
    doi={10.1007/978-3-642-30973-1_12}
}

Mikkel Kjærgaard
Henrik Blunck
Year: 2012
Unsupervised Power Profiling for Mobile Devices
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-642-30973-1_12

Mikkel Kjærgaard¹^,*, Henrik Blunck¹^,*

1: Aarhus University

*Contact email: mikkelbk@cs.au.dk, blunck@cs.au.dk

Abstract

Today, power consumption is a main limitation for mobile phones. To minimize the power consumption of popular and traditionally power-hungry location-based services requires knowledge of how individual phone features consume power, so that those features can be utilized intelligently for optimal power savings while at the same time maintaining good quality of service. This paper proposes an unsupervised API-level method for power profiling mobile phones based on genetic algorithms. The method enables accurate profiling of the power consumption of devices and thereby provides the information needed by methods that aim to minimize the power consumption of location-based and other services.

Keywords: power profiling mobile devices power consumption

Published: 2012-10-23

: http://dx.doi.org/10.1007/978-3-642-30973-1_12