A Novel Analytical Framework Is Developed for Wireless Heterogeneous Networks for Video Streaming Applications

S. Kumarganesh, S. Anthoniraj, T. Senthil Kumar, P. Elayaraja, A. Christina Josephine Malathi, M. Somaskandan, Gashaw Bekele and Muhammad Kamran Jamil

Journal of Mathematics, 2022, vol. 2022, 1-7

Abstract: Due to bandwidth and time limits, delivering high-quality video streaming facility offers real-time wireless networks, but assuring quality of experience (QoE) is rather difficult. A network host can deliver its data stream via numerous different network pathways. At the same time, using multipath data transmission, where video streaming may be supplied through Internet protocols (IPs) as well as broadband with bidirectional communication between video sources and consumers, is one way to address this difficult problem. In this work, a novel framework is developed for wireless heterogeneous networks for video streaming applications using concurrent multipath transfer (CMT). The performance of frame-level delay can be enhanced for better video quality using this proposed method. The network congestion on end-to-end path utilised in CMT is not dependent of one another, and we operate under prior assumption that receiver’s announced window does not limit the sender. The analytical results show that the proposed framework outperforms existing methods in terms of performance with minimum retransmission delay.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:2100883

DOI: 10.1155/2022/2100883

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