Power Modeling for Video Streaming Applications on Mobile Devices

Herglotz C, Coulombe S, Vazquez C, Vakili A, Kaup A, Grenier JC (2020)

Publication Type: Journal article, Online publication

Publication year: 2020

Journal

IEEE Access Institute of Electrical and Electronics Engineers (IEEE)

DOI: 10.1109/ACCESS.2020.2986580

Abstract

In this paper, we derive an accurate power model for video streaming which we condense to the essential components contributing the most to the overall power consumption. As a use case, we choose mobile devices on the receiver side performing video streaming in broadcasting or end-to-end scenarios. In modeling, we consider the complete video streaming toolchain, which mainly consists of data acquisition, video processing, display, and audio handling.We compose an overall power model with the help of models from the literature and propose a dedicated feature selection approach to reveal the most important factors related to power consumption. The resulting models achieve mean estimation errors below 7:61%. Results from feature selection indicate that the display brightness, the bitrate, and the frame rate have the highest impact on the power consumption.

Authors with CRIS profile

Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

Involved external institutions

École de technologie supérieure (ÉTS) de l'Université du Québec

Canada (CA)

How to cite

APA:

Herglotz, C., Coulombe, S., Vazquez, C., Vakili, A., Kaup, A., & Grenier, J.-C. (2020). Power Modeling for Video Streaming Applications on Mobile Devices. IEEE Access. https://doi.org/10.1109/ACCESS.2020.2986580

MLA:

Herglotz, Christian, et al. "Power Modeling for Video Streaming Applications on Mobile Devices." IEEE Access (2020).

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