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.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Jiang, Y., Jaiantilal, A., Pan, X., Al-Mutawa, M.A.A.H., Mishra, S., Shi, L. (2013). Personalized Energy Consumption Modeling on Smartphones. In: Uhler, D., Mehta, K., Wong, J.L. (eds) Mobile Computing, Applications, and Services. MobiCASE 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36632-1_20
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DOI: https://doi.org/10.1007/978-3-642-36632-1_20
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