An Efficient Framework for Network Code based Multimedia Content Distribution in a Hybrid P2P Network

TL;DR

This paper introduces a network coding-based framework for multimedia content distribution in hybrid P2P networks, improving throughput, reliability, and robustness over existing methods.

Contribution

It proposes a novel group-based network coding scheme that enhances content dissemination efficiency and supports topology changes for better performance.

Findings

Achieves 20-25% higher throughput than existing systems.

Provides improved reliability and robustness to peer churn.

Supports dynamic topology changes for enhanced system performance.

Abstract

Most of the existing P2P content distribution schemes implement a random or rarest piece first dissemination procedure to avoid duplicate transmission of the same pieces of data and rare pieces of data occurring in the network. This problem can be solved using peer-to-peer content distribution based on network coding scheme. Network coding scheme uses random linear combination of coded pieces. Hence the above stated problem can be solved ease and simple. Our proposed mechanism uses network coding mechanism in which several contents of same message is grouped into different group and coding operation is performed only within the same group. The interested peers are also divided into several groups with each group have the responsibility to spread one set of contents of some message. The coding system is designed to assure the property that any subset of the messages can be utilized to decode the original content as long as the size of the subset is suitably large. To meet this condition, dynamic smart network coding scheme is defined which assures the preferred property, then peers are connected in the same group to send the corresponding message, and connect peers in different groups to disseminate messages for carrying out decoding operation. Moreover, the proposed system can be readily expanded to support topology change to get better system performance further in terms of reliability, link stress and throughput. The simulation results prove that the proposed system can attain 20 to 25% higher throughput than existing systems, it also further attains good reliability, link failure and robustness to peer churn.