An efficient energy management system for android phone using bayesian networks

Young Seol Lee, Sung Bae Cho

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

Many applications on smart phones have been developed for a user's convenience. They are using various sensors such as accelerometer, proximity, light and orientation sensors for context-awareness. Energy-efficient battery management systems become more important to support the sensors on a mobile phone because recent applications consume a large amount of energy for diverse functionalities. This paper proposes a context-aware battery management system which infers a user's situation and controls unnecessary functionalities using embedded sensors on a mobile phone. The proposed system uses probabilistic models to infer a user's situation and minimizes the cost of probability calculation according to the change of context. In order to show the feasibility of the proposed method, we conducted the evaluation with a real dataset collected from mobile device.

Original languageEnglish
Pages102-107
Number of pages6
DOIs
Publication statusPublished - 2012 Sep 24
Event32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012 - Macau, China
Duration: 2012 Jun 182012 Jun 21

Other

Other32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012
CountryChina
CityMacau
Period12/6/1812/6/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

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  • Cite this

    Lee, Y. S., & Cho, S. B. (2012). An efficient energy management system for android phone using bayesian networks. 102-107. Paper presented at 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012, Macau, China. https://doi.org/10.1109/ICDCSW.2012.47