JOURNAL ARTICLE

Self-adaptive Peer-to-Peer streaming for heterogeneous networks using Scalable Video Coding

Abstract

In this paper we leverage the characteristics of Scalable Video Coding(SVC) and Peer-to-Peer(P2P) networks in order to propose an unstructured self-adaptive P2P streaming for heterogeneous networks and bandwidth fluctuation. The system integrates P2P features and SVC together for video streaming and is constructed based on BT-like Mesh-pull mechanism. In our proposed system, every peer lay in a specified layer which can be self-adaptive according to available bandwidth and peers have to request packet data from peers lay in the same or higher layer. Besides, initial peer layer location and progressive peer layer location modules are presented, which provide adaption to heterogeneous network and self-adaption to bandwidth fluctuation. Deployment and evaluation shows that the system can achieve good self-adaption and remarkable throughput and video streaming PSNR value increase.

Keywords:
Computer science Peer-to-peer Scalable Video Coding Computer network Scalability Bandwidth (computing) Linear network coding Network packet Video streaming Coding (social sciences) Application layer Software deployment Distributed computing

Metrics

5
Cited By
0.74
FWCI (Field Weighted Citation Impact)
9
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Peer-to-Peer Network Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Multimedia Communication and Technology
Social Sciences →  Social Sciences →  Sociology and Political Science
© 2026 ScienceGate Book Chapters — All rights reserved.