Adaptive P2PTV with Scalable Video Coding

In this paper, we propose a novel quality adaptation mechanisms using Scalable Video Coding (SVC) over Peer-to-Peer Television (P2PTV) architecture in order to provide maximum quality level. Our algorithms are based on the idea of dividing quality adaptation into two stages. The first stage, Layer Level Initialization (LLI), allows adapting to static resources at the peers. After streaming starts, another set of algorithms called the Layer Level Adjustment (LLA) is used to adapt the H.264/SVC streams with available real time resources of P2PTV. LLA is evaluated and compared with Progressive Quality Adaptation (PQA) on Quality of PSNR metric using PSIM simulator. Performance evaluation demonstrates that LLA outperforms PQA and provides a significant improvement in the PSNR value in term of adapting the Quantization Parameter (QP) with instantaneous throughput available at the peer.