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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    SIMULATION OF QOS PARAMETERS FOR VARIOUS VIDEO TOPOLOGIES USING RLNC BASED RTP PROTOCOL IN VIDEO STREAMING OVER COGNITIVE RADIO NETWORKS
    Neeta Moolani, Dr. K. Senthil kumar
    Journal of Data Acquisition and Processing, 2023, 38 (2): 4879-4891 . 

    Abstract

    Nowadays video streaming extends its applications to various multimedia services. The extremely challenging Over-The-Top (OTT) multimedia application create enlarged challenges to Internet Service Providers (ISPs) in assuring a realistic Quality of Experience (QoE) to their clients due to a require of flexibility, quickness and scalability in established networks. Here, we focus on reducing the buffer size of video and its impact on QoS parameters such as Packet Delivery Ratio (PDR), Throughput, End-to-End Delay and Energy have been evaluated. The work presented in this paper has focused on the simulation of video streaming over three video topologies (MP4, HD720 and HD1080 pixels) using RTP protocol integrated with RLNC over a Cognitive radio network. The system has been implemented and tested under a simulation environment by using the NS2 simulating tool. The QoS metrics for each video topology are carried out by employing 20 to 300 numbers of nodes over some time.

    Keyword

    Quality of Experience (QoE), Quality of Service (QoS), QoS parameters, Random Linear Network Coding (RLNC), Cognitive Network


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ISSN 1004-9037

         

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