Frequency-independent smartphone peripherals energy consumption estimation

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2023-06-30 DOI:10.35470/2226-4116-2023-12-1-42-50

Ilya Kuznetsov, V. Miroshnikov, Stanislav Sartasov

引用次数: 0

Abstract

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.

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频率无关的智能手机外设能耗估算

移动设备的功耗是当今的热门话题，在开发应用程序时解决它很重要。最流行的测量方法之一是使用Android调试桥（ADB）访问内部传感器。我们发现测量频率可能会使功率读数发生偏差。基于这种方法，我们提出了自己的算法来计算智能手机的能耗常数——不同外设状态下标称电压下的功率，单位为毫安。我们的算法考虑了测量频率偏差，并将其结果与先前发表在文献中的方法以及功率分布的基线数据进行了比较。我们得出的结论是，所开发的方法提供了更好的估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.