IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Cross-Layer Model for Video Multicast Based TCP-Adaptive FEC over Heterogeneous Networks

A Cross-Layer Model for Video Multicast Based TCP-Adaptive FEC over Heterogeneous Networks
View Sample PDF
Author(s): Ghaida A. AL-Suhail (University of Basrah, Iraq), Liansheng Tan (Central China Normal University, China)and Rodney A. Kennedy (The Australian National University, Australia)
Copyright: 2010
Pages: 17
Source title: Networking and Telecommunications: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-60566-986-1.ch119

Purchase

View A Cross-Layer Model for Video Multicast Based TCP-Adaptive FEC over Heterogeneous Networks on the publisher's website for pricing and purchasing information.

Abstract

In this article, we present a simple cross-layer model that leads to the optimal throughput of multiple users for multicasting MPEG-4 video over a heterogeneous network. For heterogeneous wired-to-wireless network, at the last wireless hop there are bit errors associated with the link-layer packets that are arising in the wireless channel, in addition of overflow packet dropping over wired links. We employ a heuristic TCP function to optimize the cross-layer model of data link and physical (radio-link) layer. An adaptive Forward-Error-Correction (FEC) scheme is applied at the byte-level as well as at the packet-level. The corresponding optimal video quality can be evaluated at each client end. The results show that a server can significantly adapt to the bandwidth and FEC codes to maximize the video quality of service (QoS) in terms of temporal scaling when a maximum network throughput for each client is reached.

Related Content

S. Vijay Anand, Sathis Kumar B.. © 2023. 12 pages.
Sudarson Rama Perumal, Muthumanikandan V., Sushmitha J.. © 2023. 30 pages.
Sipra Swain, Biswa Ranjan Senapati, Pabitra Mohan Khilar. © 2023. 31 pages.
Uma Mageswari R., Nallarasu Krishnan, Mohammed Sirajudeen Yoosuf, Murugan K., Sankar Ram C.. © 2023. 20 pages.
Divya L., Pradeep Kumar T. S.. © 2023. 15 pages.
Pradeep Kumar T. S., Vetrivelan P.. © 2023. 15 pages.
Vanitha Veerasamy, Rajathi Natarajan. © 2023. 16 pages.
Body Bottom