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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

Ghaida A. AL-Suhail, Liansheng Tan, Rodney A. Kennedy
Copyright: © 2009 |Volume: 1 |Issue: 1 |Pages: 17
ISSN: 1937-9412|EISSN: 1937-9404|ISSN: 1937-9412|EISBN13: 9781615204120|EISSN: 1937-9404|DOI: 10.4018/jmcmc.2009010104
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MLA

AL-Suhail, Ghaida A., et al. "A Cross-Layer Model for Video Multicast Based TCP-Adaptive FEC over Heterogeneous Networks." IJMCMC vol.1, no.1 2009: pp.53-69. http://doi.org/10.4018/jmcmc.2009010104

APA

AL-Suhail, G. A., Tan, L., & Kennedy, R. A. (2009). A Cross-Layer Model for Video Multicast Based TCP-Adaptive FEC over Heterogeneous Networks. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 1(1), 53-69. http://doi.org/10.4018/jmcmc.2009010104

Chicago

AL-Suhail, Ghaida A., Liansheng Tan, and Rodney A. Kennedy. "A Cross-Layer Model for Video Multicast Based TCP-Adaptive FEC over Heterogeneous Networks," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 1, no.1: 53-69. http://doi.org/10.4018/jmcmc.2009010104

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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.

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