Research Article
Modeling the Impacts of WiFi Signals on Energy Consumption of Smartphones
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@INPROCEEDINGS{10.1007/978-3-030-00916-8_9, author={Yuxia Sun and Junxian Chen and Yong Tang}, title={Modeling the Impacts of WiFi Signals on Energy Consumption of Smartphones}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings}, proceedings_a={COLLABORATECOM}, year={2018}, month={10}, keywords={WiFi environment Phone energy consumption Signal strength Modeling method}, doi={10.1007/978-3-030-00916-8_9} }- Yuxia Sun
Junxian Chen
Yong Tang
Year: 2018
Modeling the Impacts of WiFi Signals on Energy Consumption of Smartphones
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-00916-8_9
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.
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