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Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering Algorithm

Jérôme Viéron 1, * Thierry Turletti 2 Kavé Salamatian 3 Christine Guillemot 4
* Corresponding author
2 PLANETE - Protocols and applications for the Internet
Inria Grenoble - Rhône-Alpes, CRISAM - Inria Sophia Antipolis - Méditerranée
3 NPA - Networks and Performance Analysis
LIP6 - Laboratoire d'Informatique de Paris 6
4 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper introduces source-channel adaptive rate control (SARC), a new congestion control algorithm for layered video transmission in large multicast groups. In order to solve the well-known feedback implosion problem in large multicast groups, we first present a mechanism for filtering RTCP receiver reports sent from receivers to the whole session. The proposed filtering mechanism provides a classification of receivers according to a predefined similarity measure. An end-to-end source and FEC rate control based on this distributed feedback aggregation mechanism coupled with a video layered coding system is then described. The number of layers, their rate, and their levels of protection are adapted dynamically to aggregated feedbacks. The algorithms have been validated with the NS2 network simulator.
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Submitted on : Monday, February 4, 2013 - 1:19:01 PM
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  • HAL Id : hal-00784486, version 1


Jérôme Viéron, Thierry Turletti, Kavé Salamatian, Christine Guillemot. Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering Algorithm. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2004, 2004 (2), pp.396234. ⟨hal-00784486⟩



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