We present a scalable mobile multimedia streaming system with device-to-device cooperation that enables common content distribution in dense wireless networking environments. This is particularly applicable to use cases such as delivering real-time multimedia content to fans watching a soccer game in a stadium or to participants attending a major conference in a large auditorium. The key novel characteristics of our system include seamless neighbor discovery and link quality estimation, intelligent clustering and channel allocation algorithms based on constrained minimum spanning trees, robustness against device mobility, and device centric operation with no changes to existing wireless systems. We demonstrate the functionality of the proposed system on Android devices using heterogeneous networks (cellular/WiFi/WiFi-Direct) and show the formation of multiple clusters to allow for scalable operation. The gained insights will help bridge the gap between theoretical and simulation based research conducted in this area and practical operation taking into account the capabilities and limitations of existing wireless technologies and smartphones/tablets.

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Cited By

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Saganowski SKazienko P(2021)A Resource-Aware Method for Parallel D2D Data StreamingComputational Collective Intelligence10.1007/978-3-030-88081-1_52(696-707)Online publication date: 30-Sep-2021
https://doi.org/10.1007/978-3-030-88081-1_52
Aoude LDawy ZSharafeddine SFrenn KJahed K(2018)Social-Aware Device-to-Device Offloading Based on Experimental Mobility and Content Similarity ModelsWireless Communications & Mobile Computing10.1155/2018/56068292018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/5606829

Index Terms

Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation
1. Networks

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Published In

MM '16: Proceedings of the 24th ACM international conference on Multimedia

October 2016

1542 pages

ISBN:9781450336031

DOI:10.1145/2964284

General Chairs:
Alan Hanjalic
Delft University of Technology
,
Cees Snoek
Qualcomm Research Netherlands / University of Amsterdam
,
Marcel Worring
University of Amsterdam
,
Moderator:
Dick Bulterman
CWI / VU University Amsterdam
,
Program Chairs:
Benoit Huet
EURECOM
,
Aisling Kelliher
Virginia Tech
,
Yiannis Kompatsiaris
CERTH-ITI
,
Jin Li
Microsoft

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 October 2016

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Qatar National Research Fund (a member of The Qatar Foundation)

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MM '16

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SIGMM

MM '16: ACM Multimedia Conference

October 15 - 19, 2016

Amsterdam, The Netherlands

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MM '16 Paper Acceptance Rate 52 of 237 submissions, 22%;

Overall Acceptance Rate 995 of 4,171 submissions, 24%

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MM '24

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The 32nd ACM International Conference on Multimedia

October 28 - November 1, 2024

Melbourne , VIC , Australia

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Saganowski SKazienko P(2021)A Resource-Aware Method for Parallel D2D Data StreamingComputational Collective Intelligence10.1007/978-3-030-88081-1_52(696-707)Online publication date: 30-Sep-2021
https://doi.org/10.1007/978-3-030-88081-1_52
Aoude LDawy ZSharafeddine SFrenn KJahed K(2018)Social-Aware Device-to-Device Offloading Based on Experimental Mobility and Content Similarity ModelsWireless Communications & Mobile Computing10.1155/2018/56068292018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/5606829

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