Architectural considerations for a new generation of protocols
SIGCOMM '90 Proceedings of the ACM symposium on Communications architectures & protocols
End-to-end packet delay and loss behavior in the internet
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
An adaptive FEC scheme for data traffic in wireless ATM networks
IEEE/ACM Transactions on Networking (TON)
Multicast and unicast real-time video streaming over wireless LANs
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic switching between adaptive FEC protocols for reliable multi-source streaming
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Path diversity over packet switched networks: performance analysis and rate allocation
IEEE/ACM Transactions on Networking (TON)
An unequal error protection mechanism for video streaming over IEEE 802.11e WLANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The recently adopted H.264 standard achieves efficient video encoding and bandwidth savings. Thus, designing communication protocols and QoS control mechanisms for H.264 video distribution over wireless IP networks is a topic of intense research interest. Delivering video streams to terminals via a wireless last hop is indeed a challenging task due to the varying nature of the wireless link. While a common approach suggests exploiting the variations of the wireless channel, an alternative is to exploit characteristics of the video stream to improve the transmission. In this paper, we combine both approaches through an efficient wireless loss characterization and a low-delay unequal interleaved FEC protection. Besides deriving new QoS metrics for FEC block allocation, the wireless loss characterization is as well used to adjust the interleaving level depending on the loss correlation exhibited by the wireless channel. This novel unequal interleaved FEC (UI-FEC) protocol allows graceful video quality degradation over error-prone wireless links while minimizing the overall bandwidth consumption and the end-to-end latency.