Energy efficient streaming for smartphone by video adaptation and backlight control

Copyright and moral rights to this work are retained by the author and/or other copyright owners unless otherwise stated. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge.Works, including theses and research projects, may not be reproduced in any format or medium, or extensive quotations taken from them, or their content changed in any way, without first obtaining permission in writing from the copyright holder(s). They may not be sold or exploited commercially in any format or medium without the prior written permission of the copyright holder(s).Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Abstract-The increasing popularity of live video streaming from mobile devices such as Facebook Live, Instagram Stories, Snapchat, etc. pressurises the network operators to increase the capacity of their networks. However, a simple increase in system capacity will not be enough without considering the provisioning of Quality of Experience (QoE) as the basis for network control, customer loyalty and retention rate and thus increase in network operators revenue. As QoE is gaining strong momentum especially with increasing users' quality expectations, the focus is now on proposing innovative solutions to enable QoE when delivering video content over heterogeneous wireless networks. In this context, this paper presents an overview of multimedia delivery solutions, identifies the problems and provides a comprehensive classification of related state-of-theart approaches following three key directions: adaptation, energy efficiency and multipath content delivery. Discussions, challenges and open issues on the seamless multimedia provisioning faced by the current and next generation of wireless networks are also provided.

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“…in [164]. The authors use a network prediction scheme to predict the next step's network quality and adapt the video quality accordingly.…”

Section: E Energy Efficient Multimedia Processing and Deliverymentioning

confidence: 99%

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Trestian

Comşa

Tüysüz

2018

IEEE Commun. Surv. Tutorials

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“…Later study in 2017 try to achieve energy efficiency for video streaming by using video adaptation and backlight control on smartphone [16]. In the study, two schemes are proposed to accomplish energy saving in smartphone.…”

Section: Related Workmentioning

confidence: 99%

Fsi Drivenergy: Mitigating Smartphone Energy Consumption Using Fuzzy Inference

Ibrahim

Nasir

Hamid

et al. 2020

MJCS

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Smartphones today help people accomplish daily activities, from simple tasks such as taking a reminder, to more complicated processes such as predicting road traffic while driving. However, performing complicated processes on smartphones cost the device’s energy to drain much faster. As an effect, the phone’s main purpose which is to enable communication whenever it is needed is degraded in terms of performance. In relation to this problem, researchers have tried to mitigate smartphone’s energy usage. An area that has yet to be further explored, is on examining smartphone’s context while the user is travelling. This paper presents a method to mitigate smartphone’s energy usage by gathering its context and to analyze it using Fuzzy Inference technique whilst the user is driving and using navigational application at the same time. Our finding shows that using this method can improve smartphone’s battery lifespan at an average rate, ranging between 1.6% to 3.1% for every hour with up to 19% of energy saving. These results proved that analyzing smartphone using context-awareness and Fuzzy Inference can reduce smartphone’s energy usage whilst the user is travelling, which in turn improves the overall energy efficiency in smartphone.

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“…BaSe AMy monitors the power consumption of the mobile device and lowers the stream quality if the battery lifetime is not enough to finish the video playout. Additionally, the adaptive streaming solution proposed in [23] conducted the lower screen backlight level with image contrast enhancement to save more power consumption. In our previous work we proposed EDOAS , an energy-aware device-oriented adaptive multimedia scheme for WiFi offload [10].…”

Section: B Energy-efficient/saving Adaptive Solutionsmentioning

confidence: 99%

E³DOAS: Balancing QoE and Energy-Saving for Multi-Device Adaptation in Future Mobile Wireless Video Delivery

Zou

Trestian

Muntean

2018

IEEE Trans. on Broadcast.

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Abstract-Smart devices (e.g. smartphones, tablets, smarthome devices, etc.) have become important companions to most people in their daily activities, and are very much used for multimedia content exchange (i.e. video sharing, real-time/nonreal-time multimedia streaming), contributing to the exponential increase in mobile traffic over the current wireless networks. While the next generation mobile networks will provide higher capacity than the current 4G systems, the network operators will face important challenges associated with the outstanding increase of both video traffic and user expectations in terms of their levels of perceived quality or Quality of Experience (QoE). Furthermore, the heterogeneity of mobile devices (e.g. screen resolution, battery life, hardware performance) also impacts severely the end-user QoE. In this context, this paper proposes an Evolved QoE-aware Energy-saving Device-Oriented Adaptive Scheme (E 3 DOAS ) for mobile multimedia delivery over future wireless networks. E 3 DOAS makes use of a coalition gamebased rate allocation strategy within the multi-device heterogeneous environment, and optimizes the trade-off between the end-user perceived quality of the multimedia delivery and the mobile device energy-saving. Testing has involved a prototype of E 3 DOAS , a crowd-sourcing-based QoE assessment method to model non-reference perceptual video quality, and an energy measurement testbed introduced to collect power consumption parameters of the mobile devices. Simulation-based performance evaluation showed how E 3 DOAS outperformed other state of the art multimedia adaptive solutions in terms of energy saving, endto-end Quality of Service (QoS) metrics and end-user perceived quality.

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Energy efficient streaming for smartphone by video adaptation and backlight control

Cited by 7 publications

References 17 publications

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Fsi Drivenergy: Mitigating Smartphone Energy Consumption Using Fuzzy Inference

E³DOAS: Balancing QoE and Energy-Saving for Multi-Device Adaptation in Future Mobile Wireless Video Delivery

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Energy efficient streaming for smartphone by video adaptation and backlight control

Cited by 7 publications

References 17 publications

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Fsi Drivenergy: Mitigating Smartphone Energy Consumption Using Fuzzy Inference

E3DOAS: Balancing QoE and Energy-Saving for Multi-Device Adaptation in Future Mobile Wireless Video Delivery

Contact Info

Product

Resources

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E³DOAS: Balancing QoE and Energy-Saving for Multi-Device Adaptation in Future Mobile Wireless Video Delivery