Skip to main content

Advertisement

We’d like to understand how you use our websites in order to improve them. Register your interest.

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

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.

Author information

Affiliations

Authors

Corresponding author

Correspondence to Jérôme Viéron.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Viéron, J., Turletti, T., Salamatian, K. et al. Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering Algorithm. EURASIP J. Adv. Signal Process. 2004, 396234 (2004). https://doi.org/10.1155/S111086570430911X

Download citation

Keywords and phrases

  • multicast
  • congestion control
  • layered video
  • aggregation
  • FGS