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.
Highlights
In recent years, video streaming in end-to-end or broadcasting scenarios has become the main contributor to global Internet traffic
We focus on a mobile device on the receiver side whose battery is highly burdened by the streaming process, which is characterized by a computationally complex software application and power-intensive hardware modules
Measuring in various test conditions, we find the dependency with respect to streaming parameters such as the bitrate, the frame rate, or the resolution of the video sequence
Summary
Video streaming in end-to-end or broadcasting scenarios has become the main contributor to global Internet traffic. Forecasts indicate that the share of video data will even increase to more than three fourths in 2022 [1] Worldwide, all this data is received by millions of portable devices, such as smartphones or tablet personal computers (PCs), which must process the data to be able to display video and play audio for high-quality user experiences. Research on energy efficient video communication solutions is of vital importance In this respect, a large amount of research is performed to optimize the energy efficiency or the complexity of distinct components, such as the encoder on the sender side [3]–[5], the delivering network [6]–[9], or the video decoder [10]–[13] and the display on the receiver side [14]
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