[This article belongs to Volume - 56, Issue - 01, 2024]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-05-03-2024-04

Title : ENHANCING VIDEO STREAMING PERFORMANCE OVER A COGNITIVE NETWORK USING RLNC ALGORITHM: A COMPARATIVE ANALYSIS OF RTP AND HTTP PROTOCOLS
video streaming, cognitive network, RTP, HTTP, and RLNC algorithm

Abstract :

Video streaming is based on video applications such as videoconferencing, video on demand, Netflix, Amazon Prime, Youtube, Hotstar, etc. In this paper, we are reducing video delay by improving the quality of experience and quality of service by using real-time protocols RTP and HTTP with the help of cognitive network and RLNC algorithm, Without compromising high-quality video. Here we are comparing both the protocol, which is best for video streaming using 3 different videos (MP4, HD720, and HD1080 pixels) with four-parameter matrices (packet delivery ratio, end-to-end delay, throughput, and energy). Simulation results verify the significant improvement achieved by the proposed protocol compared to other existing RTP and HTTP protocols under different network conditions.