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inis 25(3):

Research Article

QoE-Energy Consumption Optimization for End-User Devices in Adaptive Bitrate Video Streaming Using the Lagrange Multiplier Method

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  • @ARTICLE{10.4108/eetinis.v12i3.8587,
        author={Tien Vu Huu and Thao Nguyen Thi Huong},
        title={QoE-Energy Consumption Optimization for End-User Devices in Adaptive Bitrate Video Streaming Using the Lagrange Multiplier Method},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={12},
        number={3},
        publisher={EAI},
        journal_a={INIS},
        year={2025},
        month={4},
        keywords={Video streaming, Adaptive Bitrate, QoE, Energy consumption},
        doi={10.4108/eetinis.v12i3.8587}
    }
    
  • Tien Vu Huu
    Thao Nguyen Thi Huong
    Year: 2025
    QoE-Energy Consumption Optimization for End-User Devices in Adaptive Bitrate Video Streaming Using the Lagrange Multiplier Method
    INIS
    EAI
    DOI: 10.4108/eetinis.v12i3.8587
Tien Vu Huu1,*, Thao Nguyen Thi Huong1
  • 1: Posts and Telecommunications Institute of Technology
*Contact email: tienvh@ptit.edu.vn

Abstract

The reduction of greenhouse gas emissions in the Internet and ICT sectors has become a critical challenge. According to recent research, the key contributors to greenhouse gas emissions in Internet include high energy consumption factors such as data centers, transmission network devices, and end-user devices. Among Internet services, video streaming is one of the services having the highest traffic volume and number of users. Consequently, developing energy-efficient solutions for video streaming networks, particularly for end-user devices, is an urgent research priority. Reducing energy consumption in end-user devices in a video streaming system often requires compromises in parameters that impact the quality of user experience (QoE). Therefore, achieving an optimal trade-off between minimizing energy consumption and maintaining an acceptable QoE is a key objective. In this study, a cost function that integrates QoE and energy consumption is developed using the Lagrange multiplier method. Based on this function, an adaptive bitrate algorithm is proposed to select optimal video segments for video players, ensuring maximum QoE while minimizing energy consumption. The performance of the proposed method is evaluated using various types of video samples under varying network bandwidth conditions. Experimental results show that the proposed method reduces energy consumption of end-user devices by up to 6.7% and enhances QoE by 20% compared to previous methods.

Keywords
Video streaming, Adaptive Bitrate, QoE, Energy consumption
Received
2025-02-01
Accepted
2025-03-30
Published
2025-04-14
Publisher
EAI
http://dx.doi.org/10.4108/eetinis.v12i3.8587

Copyright © 2025 Tien Vu Huu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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