On the effect of random network coding in GIA-based P2P live video streaming systems

Abstract

Recently it has been shown that network coding can highly improve the network throughput in the communication systems and specifically increase the downloading performance in P2P networks. This paper presents a new live streaming system for GIA-based P2P networks. In the proposed system the traditional GIA protocol is improved for an efficient use in multimedia applications. We introduce a new mesh-pull layered video streaming framework for GIA-based systems and employ random network coding to improve the network performance. Random network coding algorithm enables each peer to send a single encoded video chunk instead of multiple video blocks toward the destination node and save its downloading and uploading bandwidths to a great extent. Comparison of our new GIA-based live streaming system with the traditional GIA demonstrates that this system can achieve a significant improvement in total end-to-end delay, network throughput and redundancy of bandwidth usage.