Research Article
Personalized Energy Consumption Modeling on Smartphones
@INPROCEEDINGS{10.1007/978-3-642-36632-1_20, author={Yifei Jiang and Abhishek Jaiantilal and Xin Pan and Mohammad Al-Mutawa and Shivakant Mishra and Larry Shi}, title={Personalized Energy Consumption Modeling on Smartphones}, 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={mobile computing power usage mobile power usage user study}, doi={10.1007/978-3-642-36632-1_20} }- Yifei Jiang
Abhishek Jaiantilal
Xin Pan
Mohammad Al-Mutawa
Shivakant Mishra
Larry Shi
Year: 2013
Personalized Energy Consumption Modeling on Smartphones
MOBICASE
Springer
DOI: 10.1007/978-3-642-36632-1_20
Abstract
Energy has emerged as a key limitation in smartphone usage. As a result, optimizing power consumption has become a key design issue in building services and applications for smartphones. Understanding user behavior and its impact on energy consumption of smartphones is a key step for addressing this problem. This paper provides an in-depth study of user behavior and energy consumption of smartphones by analyzing smartphone data collected from twenty smartphone users over a period of three months. In particular, correlations between power consumption and factors such as time of day, user’s location, remaining battery power, recent phone usage history, and phone’s idle and active states have been studied. The results show varied levels of correlations between a user’s phone usage and these factors, and can be used to model and predict smartphone power consumption.