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.
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- Paek, J., Kim, J. and Govindan, R. Energy-Efficient Rate-Adaptive GPS-based Positioning for Smartphones. In Proc. MobiSys 2010. Google ScholarDigital Library
Index Terms
- Demo: User Support for Power Management of Continuous Sensing Applications
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