An efficient energy-aware video service for smart devices in human-centered multimedia systems

[thumbnail of Open Access]
Preview
Text (Open Access)
- Published Version
ยท Available under License Creative Commons Attribution Non-commercial.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Zhang, J., Sun, Y., Sherratt, R. S. ORCID: https://orcid.org/0000-0001-7899-4445, Alqahtani, F., Said, W. and Zhu, M. (2025) An efficient energy-aware video service for smart devices in human-centered multimedia systems. Human-centric Computing and Information Sciences, 15. 25. ISSN 2192-1962 doi: 10.22967/HCIS.2025.15.025

Abstract/Summary

Nowadays human-centered multimedia (HCM) systems are growing rapidly, and HCM systems are broadly accessible to users over mobile networks. As one of the most important human-centered computing services, video service constitutes the main part of the overall mobile network traffic in an HCM system. However, video service currently faces significant technical challenges. In particular, despite significant improvements in mobile network bandwidth and processor performance, the online video services on smart devices (e.g., smartphones, tablets) are still constrained by limited battery capacity. This contradiction underscores the inadequacies of existing battery energy consumption optimization strategies in dealing with various usage scenarios, especially in meeting the diverse battery-saving needs of online video stream users. In response to this issue, we have proposed an efficient energy-aware adaptive video service scheme. This scheme divides the battery power into different energy levels, and then dynamically adjusts the playing parameters (including the threshold of the warm-up stage, capacity of the video buffer, etc.) according to the energy level, while helping the edge client to flexibly capture and play back the required videos. Based on designed experiments already conducted on the proposed method, the results demonstrate the effectiveness of this method in optimizing energy consumption for video services.

Altmetric Badge

Item Type Article
URI https://centaur.reading.ac.uk/id/eprint/122573
Identification Number/DOI 10.22967/HCIS.2025.15.025
Refereed Yes
Divisions Life Sciences > School of Biological Sciences > Biomedical Sciences
Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher Springer Berlin Heidelberg
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record