Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices
Video streaming service is one of the most popular applications for mobile users. However, mobile video streaming services consume a lot of energy, resulting in a reduced battery life. This is a critical problem that results in a degraded user’s quality of experience (QoE). Therefore, in this paper,...
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Series: | Mobile Information Systems |
Online Access: | http://dx.doi.org/10.1155/2017/9816467 |
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doaj-1079de1f715a4fad810153ce80c330902021-07-02T04:59:48ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2017-01-01201710.1155/2017/98164679816467Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile DevicesSung-Woong Jo0Jong-Moon Chung1School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of KoreaSchool of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of KoreaVideo streaming service is one of the most popular applications for mobile users. However, mobile video streaming services consume a lot of energy, resulting in a reduced battery life. This is a critical problem that results in a degraded user’s quality of experience (QoE). Therefore, in this paper, a joint optimization scheme that controls both the central processing unit (CPU) and wireless networking of the video streaming process for improved energy efficiency on mobile devices is proposed. For this purpose, the energy consumption of the network interface and CPU is analyzed, and based on the energy consumption profile a joint optimization problem is formulated to maximize the energy efficiency of the mobile device. The proposed algorithm adaptively adjusts the number of chunks to be downloaded and decoded in each packet. Simulation results show that the proposed algorithm can effectively improve the energy efficiency when compared with the existing algorithms.http://dx.doi.org/10.1155/2017/9816467 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sung-Woong Jo Jong-Moon Chung |
spellingShingle |
Sung-Woong Jo Jong-Moon Chung Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices Mobile Information Systems |
author_facet |
Sung-Woong Jo Jong-Moon Chung |
author_sort |
Sung-Woong Jo |
title |
Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices |
title_short |
Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices |
title_full |
Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices |
title_fullStr |
Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices |
title_full_unstemmed |
Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices |
title_sort |
joint optimized cpu and networking control scheme for improved energy efficiency in video streaming on mobile devices |
publisher |
Hindawi Limited |
series |
Mobile Information Systems |
issn |
1574-017X 1875-905X |
publishDate |
2017-01-01 |
description |
Video streaming service is one of the most popular applications for mobile users. However, mobile video streaming services consume a lot of energy, resulting in a reduced battery life. This is a critical problem that results in a degraded user’s quality of experience (QoE). Therefore, in this paper, a joint optimization scheme that controls both the central processing unit (CPU) and wireless networking of the video streaming process for improved energy efficiency on mobile devices is proposed. For this purpose, the energy consumption of the network interface and CPU is analyzed, and based on the energy consumption profile a joint optimization problem is formulated to maximize the energy efficiency of the mobile device. The proposed algorithm adaptively adjusts the number of chunks to be downloaded and decoded in each packet. Simulation results show that the proposed algorithm can effectively improve the energy efficiency when compared with the existing algorithms. |
url |
http://dx.doi.org/10.1155/2017/9816467 |
work_keys_str_mv |
AT sungwoongjo jointoptimizedcpuandnetworkingcontrolschemeforimprovedenergyefficiencyinvideostreamingonmobiledevices AT jongmoonchung jointoptimizedcpuandnetworkingcontrolschemeforimprovedenergyefficiencyinvideostreamingonmobiledevices |
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1721339178563665920 |