research-article

Ipb-frame adaptive mapping mechanism for video transmission over IEEE 802.11e WLANs

Authors:

Wan-Liang Wang,

Shuang-Hua Yang,

Tie-Qiang PanAuthors Info & Claims

ACM SIGCOMM Computer Communication Review, Volume 44, Issue 2

Pages 5 - 12

https://doi.org/10.1145/2602204.2602206

Published: 08 April 2014 Publication History

Abstract

This paper proposed an IPB-frame Adaptive Mapping Mechanism (AMM) to improve the video transmission quality over IEEE 802.11e Wireless Local Area Networks (WLANs). Based on the frame structure of hierarchical coding technology, the probability of each frame allocated to the most appropriate Access Category (AC) was dynamically updated according to its importance and traffic load of each AC. Simulation results showed the superior performance of the proposed AMM by comparing with three other existing mechanisms in terms of three objective metrics.

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Cited By

Salman MDao NLee UNoh Y(2022)CSI:DeSpyProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35345936:2(1-27)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534593
Dao DSalman MNoh Y(2021) DeepDeSpy : A Deep Learning-Based Wireless Spy Camera Detection System IEEE Access10.1109/ACCESS.2021.31212549(145486-145497)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3121254
Lopes RLuís MSargento S(2021)Real-time video frame differentiation in multihomed VANETsWireless Networks10.1007/s11276-021-02606-127:4(2559-2575)Online publication date: 1-May-2021
https://dl.acm.org/doi/10.1007/s11276-021-02606-1
Show More Cited By

Index Terms

Ipb-frame adaptive mapping mechanism for video transmission over IEEE 802.11e WLANs
1. Networks
  1. Network protocols
  2. Network types
    1. Mobile networks
    2. Wireless access networks

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Information & Contributors

Information

Published In

cover image ACM SIGCOMM Computer Communication Review

ACM SIGCOMM Computer Communication Review Volume 44, Issue 2

April 2014

96 pages

ISSN:0146-4833

DOI:10.1145/2602204

Editors:
Konstantina Papagiannaki
Telefonica Research, Barcelona, Spain
,
Sharad Agarwal
Microsoft Research, USA
,
Katerina Argyraki
EPFL, Switzerland
,
Hitesh Ballani
Microsoft Research Cambridge, UK
,
Fabián Bustamante
Northwestern University, USA
,
Joseph Camp
SMU, USA
,
Augustin Chaintreau
Columbia University, USA
,
Nikolaos Laoutaris
Telefonica Research, Spain
,
Marco Mellia
Politecnico di Torino, Italy
,
Bhaskaran Raman
IIT Bombay, India
,
Renata Teixeira
LIP6, France
,
Jia Wang
AT&T Research, USA
,
Matteo Varvello
Bell Labs/Alcatel Lucent, Holmdel, NJ, USA

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Copyright © 2014 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 April 2014

Published in SIGCOMM-CCR Volume 44, Issue 2

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Citations

Cited By

Salman MDao NLee UNoh Y(2022)CSI:DeSpyProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35345936:2(1-27)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534593
Dao DSalman MNoh Y(2021) DeepDeSpy : A Deep Learning-Based Wireless Spy Camera Detection System IEEE Access10.1109/ACCESS.2021.31212549(145486-145497)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3121254
Lopes RLuís MSargento S(2021)Real-time video frame differentiation in multihomed VANETsWireless Networks10.1007/s11276-021-02606-127:4(2559-2575)Online publication date: 1-May-2021
https://dl.acm.org/doi/10.1007/s11276-021-02606-1
Magalhaes Pd'Orey PAndrade MCastro F(2020)Video-assisted Overtaking System Enabled by C-V2X Mode 4 Communications2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMob50308.2020.9253375(382-387)Online publication date: 12-Oct-2020
https://doi.org/10.1109/WiMob50308.2020.9253375
Cheng YJi XLu TXu W(2020)On Detecting Hidden Wireless Cameras: A Traffic Pattern-based ApproachIEEE Transactions on Mobile Computing10.1109/TMC.2019.290091919:4(907-921)Online publication date: 4-Mar-2020
https://dl.acm.org/doi/10.1109/TMC.2019.2900919
Garrido Abenza PMalumbres MPeral PLopez-Granado O(2020)Evaluating the Use of QoS for Video Delivery in Vehicular Networks2020 29th International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN49398.2020.9209735(1-9)Online publication date: Aug-2020
https://doi.org/10.1109/ICCCN49398.2020.9209735
Lopes RLuis MSargento S(2019)Real-time Video Transmission in Multihomed Vehicular Networks2019 IEEE Vehicular Networking Conference (VNC)10.1109/VNC48660.2019.9062806(1-4)Online publication date: Dec-2019
https://doi.org/10.1109/VNC48660.2019.9062806
Cheng YJi XLu TXu WKim JAhn GKim SKim YLopez JKim T(2018)DeWiCamProceedings of the 2018 on Asia Conference on Computer and Communications Security10.1145/3196494.3196509(1-13)Online publication date: 29-May-2018
https://dl.acm.org/doi/10.1145/3196494.3196509
Ojo OOluwatope AAjadi S(2018)Formal verification of a peer-to-peer streaming protocolJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2018.08.008Online publication date: Aug-2018
https://doi.org/10.1016/j.jksuci.2018.08.008
Khambari NGhita B(2018)QoE Enhancements for Video Traffic in Wireless Networks through Selective Packet DropsComputational Science and Technology10.1007/978-981-13-2622-6_29(295-304)Online publication date: 28-Aug-2018
https://doi.org/10.1007/978-981-13-2622-6_29
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