Enhancing tfrc for video streaming by agnostically using applicative cross layer semantics and measure

Abstract

This paper proposes an enhancement to the TFRC congestion control algorithm by using the intrinsic QoS characteristics of video streams in order to offer a service that better suits application requirements while still performing adequate congestion control. Several algorithms can be used to take advantage of the stream's features. An autonomic framework integrating generic rules and algorithms for adaptation is presented. This framework enhances TFRC by agnostically integrating applicative cross layering semantics and PSNR computation in order to build algorithms that improve the perceived QoS. Simulations studies demonstrating the benefits of this approach are presented. © 2009 Springer Berlin Heidelberg.