research-article

Energy-efficient video streaming from high-speed trains

Authors:

Jiangchuan Liu,

Hongbo JiangAuthors Info & Claims

NOSSDAV '11: Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video

Pages 117 - 122

https://doi.org/10.1145/1989240.1989269

Published: 01 June 2011 Publication History

Abstract

The problem of streaming packetized media has been intensively studied for a long time. In this paper, we revisit this problem in the high-speed railway context, where passengers encode and upload videos through increasingly powerful smartphones. The challenge is highlighted by the fast changing channel conditions in high-speed trains and the limited battery of cell phones. Inspired by the unique spatial-temporal characteristics of wireless signals along high-speed railways, we propose a novel energy-efficient and rate-distortion optimized approach for video streaming. Our solution effectively predicts the signal strength through its spatial-temporal periodicity in this new application scenario. It then smartly adjusts the GOF budget, schedules the video transmission to achieve graceful rate-distortion performance and yet conserves the energy consumption. Performance evaluation based on simulated railway scenarios and H.264 video traces demonstrates the effectiveness of our solution and its superiority as compared to existing solutions.

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Cited By

Leu JYu MLiu CBudiarsa AUtomo V(2017)Energy efficient streaming for smartphone by video adaptation and backlight controlComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2016.12.007113:C(111-123)Online publication date: 11-Feb-2017
https://dl.acm.org/doi/10.1016/j.comnet.2016.12.007
Liu CChen YLeu JSong T(2016)Energy efficient streaming for smartphones by video adaptation and backlight control2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG)10.1109/IGBSG.2016.7539433(1-5)Online publication date: Jun-2016
https://doi.org/10.1109/IGBSG.2016.7539433

Index Terms

Energy-efficient video streaming from high-speed trains
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

NOSSDAV '11: Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video

June 2011

138 pages

ISBN:9781450307772

DOI:10.1145/1989240

Program Chairs:
Charles 'Buck' Krasic
Google Inc. (USA)
,
Kang Li
University of Georgia (USA)

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMM: ACM Special Interest Group on Multimedia

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2011

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NOSSDAV '11

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SIGMM

NOSSDAV '11: The 21st International Workshop on Network and Operating Systems Support for Digital Audio and Video

June 1 - 3, 2011

British Columbia, Vancouver, Canada

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Overall Acceptance Rate 118 of 363 submissions, 33%

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Cited By

Leu JYu MLiu CBudiarsa AUtomo V(2017)Energy efficient streaming for smartphone by video adaptation and backlight controlComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2016.12.007113:C(111-123)Online publication date: 11-Feb-2017
https://dl.acm.org/doi/10.1016/j.comnet.2016.12.007
Liu CChen YLeu JSong T(2016)Energy efficient streaming for smartphones by video adaptation and backlight control2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG)10.1109/IGBSG.2016.7539433(1-5)Online publication date: Jun-2016
https://doi.org/10.1109/IGBSG.2016.7539433

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