Video streaming with network coding

Kien Nguyen, Thinh Nguyen, Sen Ching Cheung

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

Recent years have witnessed an explosive growth in multimedia streaming applications over the Internet. Notably, Content Delivery Networks (CDN) and Peer-to-Peer (P2P) networks have emerged as two effective paradigms for delivering multimedia contents over the Internet. One salient feature shared between these two networks is the inherent support for path diversity streaming where a receiver receives multiple streams simultaneously on different network paths as a result of having multiple senders. In this paper, we propose a network coding framework for efficient video streaming in CDNs and P2P networks in which, multiple servers/peers are employed to simultaneously stream a video to a single receiver. We show that network coding techniques can (a) eliminate the need for tight synchronization between the senders, (b) be integrated easily with TCP, and (c) reduce server's storage in CDN settings. Importantly, we propose the Hierarchical Network Coding (HNC) technique to be used with scalable video bit stream to combat bandwidth fluctuation on the Internet. Simulations demonstrate that under certain scenarios, our proposed network coding techniques can result in bandwidth saving up to 60% over the traditional schemes.

Original languageEnglish
Pages (from-to)319-333
Number of pages15
JournalJournal of Signal Processing Systems
Volume59
Issue number3
DOIs
StatePublished - Jun 2010

Bibliographical note

Funding Information:
This work is supported under the NSF grant: CNS 0834775; CNS 0845476.

Funding

This work is supported under the NSF grant: CNS 0834775; CNS 0845476.

FundersFunder number
National Science Foundation (NSF)CNS 0845476, CNS 0834775, 0845476

    Keywords

    • Network coding
    • Video streaming

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Theoretical Computer Science
    • Signal Processing
    • Information Systems
    • Modeling and Simulation
    • Hardware and Architecture

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