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Frequency-independent smartphone peripherals energy consumption estimation

Stanislav Sartasov, Vladislav Miroshnikov, Ilya Kuznetsov
The power consumption of mobile devices is a hot topic these days, and it is important to address it when developing applications. One of the most popular ways to measure it is accessing internal sensors using Android Debug Bridge (ADB). We discovered that measurement frequency may skew the power readings. Based on this approach we propose our own algorithm for calculating smartphone energy consumption constants — the power in milliamperes at nominal voltage for different peripherals states. Our algorithm takes measurement frequency bias into account, and its results are compared with the method previously published in literature as well as the baseline data from power profile. We conclude that the developed approach provides better estimation.
CYBERNETICS AND PHYSICS, VOL. 12, NO. 1, 2023, 42–50
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