Abstract
In this paper, we explore the impacts of the WiFi signal strengths under normal signal conditions on the energy consumption of smartphones. Controlled experiments are conducted to quantitatively study the phone energy impacts by normal WiFi signals. As the experimental results show, the weaker the signal strength is, the faster the phone energy dissipates. To quantitatively describe such impacts, we construct a time-based signal strength-aware energy model. The energy modeling methods proposed in the paper enable ordinary developers to conveniently compute phone energy draw by utilizing cheap power meters as measurement tools. The modeling methods are general and able to be used for phones of any type and platform.
This work is supported by the National Natural Science Funds of China under Grant #61402197, Guangdong Province Science and Technology Plan Project #2017A040405030, Guangdong Province Natural Science Funds Team Project #S2012030006242, and Tianhe District Science and Technology Plan Project #201702YH108 in Guangzhou City of China.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sun, Y., Chen, J., Tang, Y. (2018). Modeling the Impacts of WiFi Signals on Energy Consumption of Smartphones. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_9
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DOI: https://doi.org/10.1007/978-3-030-00916-8_9
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