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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Main Authors: Sung-Woong Jo, Jong-Moon Chung
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2017/9816467
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spelling 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
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AT jongmoonchung jointoptimizedcpuandnetworkingcontrolschemeforimprovedenergyefficiencyinvideostreamingonmobiledevices
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