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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering | EURASIP Journal on Applied Signal Processing 2004 2 158-175 2004 Hindawi Publishing Corporation Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering Algorithm Jerome Vieron Thomson multimedia R D 1 avenue Bellefontaine - CS 17616 35576 Cesson-Sevigne France Email jerome.vieron@inria.fr Thierry Turletti INRIA 2004 route des Lucioles - BP 93 06902 Sophia Antipolis Cedex France Email thierry. turletti@inria.fr Kave Salamatian Laboratoire d Informatique de Paris 6 LIP6 8 rue du Capitaine Scott 75015 Paris France Email kave.salamatian@inria.fr Christine Guillemot INRIA Campus de Beaulieu 35042 Rennes Cedex France Email christine.guillemot@inria.fr Received 24 October 2002 Revised 8 July 2003 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. Keywords and phrases multicast congestion control layered video aggregation FGS. 1. INTRODUCTION Transmission of multimedia flows over multicast channels is confronted with the receivers heterogeneity problem. In a multicast topology multicast delivery tree in the 1 N case acyclic graph in the M N case network conditions such as loss rate LR and queueing delays are not homogeneous in the general case. Rather there may be local congestions .
