Research Article
Context-Aware Mobile Power Management Using Fuzzy Inference as a Service
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@INPROCEEDINGS{10.1007/978-3-642-36632-1_18, author={Mohammad Moghimi and Jagannathan Venkatesh and Piero Zappi and Tajana Rosing}, title={Context-Aware Mobile Power Management Using Fuzzy Inference as a Service}, proceedings={Mobile Computing, Applications, and Services. 4th International Conference, MobiCASE 2012, Seattle, WA, USA, October 11-12, 2012. Revised Selected Papers}, proceedings_a={MOBICASE}, year={2013}, month={2}, keywords={Context Awareness Energy Efficiency Mobile Systems Fuzzy Inference}, doi={10.1007/978-3-642-36632-1_18} }- Mohammad Moghimi
Jagannathan Venkatesh
Piero Zappi
Tajana Rosing
Year: 2013
Context-Aware Mobile Power Management Using Fuzzy Inference as a Service
MOBICASE
Springer
DOI: 10.1007/978-3-642-36632-1_18
Abstract
As smartphones become ubiquitous, their energy consumption remains one of the most important issues. Mobile devices operate in a dynamically changing context, and their embedded sensors can be used to extract the relevant context needed for resource optimization. In this paper, we present a context-aware power management system implemented as a widely-applicable middleware application. Fuzzy inference is used to represent a high-level description of context, which is provided as a service. We test our approach using actual periodic and streaming applications on a mobile phone. Our results show energy reduction of 13-50% for periodic applications, and 18-36% for streaming applications.
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