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A development of power consumption measurement system for Android smartphones

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Published:05 January 2017Publication History

ABSTRACT

Smartphones are going to be more popular over the next five years and smartphone subscriptions will reach 6.1 billion in 2020. Moreover, mobile context-aware technologies and applications will be evolving more rapidly. However, smartphone users are always power-hungry. In order to solve such a problem, many researches for power measurement systems have been existed. But existing research have many limitations. In this paper, we propose to combine (i) the battery consumption information of users and (ii) log analyses, and develop a new power consumption measurement system, called the Log Analysis Consumption Report (LACR), which extends the open source of PowerTutor. The goal of our system is to measure the power consumed by WiFi, which is not supported by PowerTutor. The experiments performed on Galaxy S6 show that our system is much suitable for GalaxyS6 than existing methods.

References

  1. Patrik, C., and Peter, J. Ericsson Mobility Report: 70 Percent of World's Population Using Smartphones by 2020. Ericsson Mobility Report, June 2015. Retrived September 01,2016 : https://www.ericsson.com/news/1925907Google ScholarGoogle Scholar
  2. Lide, z., Birjodh, T., Zhiyun, Q., Zhaoguang, W., Robert, P, D., Zhuoqing, M, M., and Lei, Y, Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones. in 8th IEEE/ACM International Conference on Jardware/Software-Co-Design and System Synthesis,(New York, USA, 2010), ACM, 105--114. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Mobile Device Power Monitor Manual, 1.15, Retrieved September 10,2016: https://www.msoon.com/Google ScholarGoogle Scholar
  4. Luke, H. Using Monsoon Power Monitor with iPhone 5s, 2015, Retrieved September 20, 2016: https://bottleofcode.com/2015/07/12/using-monsoon-power-monitor-with-iphone-5s/Google ScholarGoogle Scholar
  5. Battery Historian, 2016, Retrieved August 20, 2016 from Git-Hub, Inc.: https://github.com/google/battery-historianGoogle ScholarGoogle Scholar
  6. Jaymin, L., Hyunwoo Joe., and Hyungshin Kim, Smart Phone Power Model Generation using Use Pattern Analysis, in 2012 IEEE International Conference on Consumer Electronics, (Las Vegas, USA, 2012), IEEE, 412--413.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication
      January 2017
      746 pages
      ISBN:9781450348881
      DOI:10.1145/3022227

      Copyright © 2017 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 January 2017

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      Acceptance Rates

      IMCOM '17 Paper Acceptance Rate113of366submissions,31%Overall Acceptance Rate213of621submissions,34%

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