Mobile Computing, Applications, and Services. 4th International Conference, MobiCASE 2012, Seattle, WA, USA, October 11-12, 2012. Revised Selected Papers

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
Mohammad Moghimi1,*, Jagannathan Venkatesh1,*, Piero Zappi1,*, Tajana Rosing1,*
  • 1: University of California
*Contact email: mmoghimi@ucsd.edu, jvenkatesh@ucsd.edu, pzappi@ucsd.edu, tajana@ucsd.edu

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.