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Demo: User Support for Power Management of Continuous Sensing Applications

Published:01 November 2015Publication History

ABSTRACT

Recently, a number of continuous sensing applications have been actively proposed in research communities and commercially released in the market. However, due to their unique power characteristics, user behavior-dependent battery drain, they bring new challenges for users' power management on these applications. In this demonstration, we present a comprehensive approach to support users' power management for continuous sensing applications. First, at pre-installation time, we provide an instant, personalized power estimation of a continuous sensing application. Without exhaustive trial and error, users can decide judiciously to install a certain application or not. Second, at runtime, we provide mobility-aware battery information. With this information, users can better estimate the phone's remaining battery life based on their imminent mobility conditions and take necessary actions in advance such as carrying an additional battery or minimizing the use of applications.

References

  1. Lee, Y., Min, C., Hwang, C., Lee, J., Hwang, I., Ju, Y., Yoo, C., Moon, M., Lee, U., and Song, J. SocioPhone: Everyday Face-to-face Interaction Monitoring Platform using Multi-phone Sensor Fusion. In Proc. MobiSys 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Min, C., Lee, Y., Yoo, C., Kang, S., Choi, S., Park, P., Hwang, I., Ju, Y., Choi, S., and Song, J. PowerForecaster: Predicting Smartphone Power Impact of Continuous Sensing Applications at Pre-installation Time. In Proc. SenSys 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Min, C., Yoo, C., Hwang, I., Kang, S., Lee, Y., Lee, S., Park, P., Lee, C., Choi, S., and Song, J. Sandra Helps You Learn: the More You Walk, the More Battery Your Phone Drains. In Proc. UbiComp 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Paek, J., Kim, J. and Govindan, R. Energy-Efficient Rate-Adaptive GPS-based Positioning for Smartphones. In Proc. MobiSys 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Demo: User Support for Power Management of Continuous Sensing Applications

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        • Published in

          cover image ACM Conferences
          SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
          November 2015
          526 pages
          ISBN:9781450336314
          DOI:10.1145/2809695

          Copyright © 2015 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 November 2015

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          • demonstration

          Acceptance Rates

          SenSys '15 Paper Acceptance Rate27of132submissions,20%Overall Acceptance Rate174of867submissions,20%
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