Abstract

With the wide deployment of wireless networks and the rapid integration of various emerging networking technologies nowadays, Internet video applications must be updated on a sufficiently timely basis to support high end-to-end quality of service (QoS) levels over heterogeneous infrastructures. However, updating the legacy applications to provide QoS support is both complex and expensive since the video applications must communicate with underlying architectures when carrying out QoS provisioning, and furthermore, should be both aware of and adaptive to variations in the network conditions. Accordingly, this paper presents a transparent loss recovery scheme to transparently support the robust video transmission on behalf of real-time streaming video applications. The proposed scheme includes the following two modules: (i) a transparent QoS mechanism which enables the QoS setup of video applications without the requirement for any modification of the existing legacy applications through its use of an efficient packet redirection scheme; and (ii) an instant frame-level FEC technique which performs online FEC bandwidth allocation within TCP-friendly rate constraints in a frame-by-frame basis to minimize the additional FEC processing delay. The experimental results show that the proposed scheme achieves nearly the same video quality that can be obtained by the optimal frame-level FEC under varying network conditions while maintaining low end-to-end delay.

Highlights

  • As different types of wireless networks are converging into the wired Internet,providing end-to-end quality of service (QoS) is essential for video transmission over the wireless Internet

  • To evaluate the performance of the proposed forward error correction (FEC)-on-transparent QoS mechanism (TQM), a prototype implementation of TQM was developed on the FreeBSD and Linux platforms.As shown in Figure 8, the experimental setup consisted of a video sender, a video receiver and a network bridge, and these three hosts were running on Linux-based x86 PCs

  • This paper has developed a transparent QoS mechanism designated as TQM to transparently establish QoS sessions on behalf of multimedia applications over the wireless

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Summary

INTRODUCTION

As different types of wireless networks are converging into the wired Internet,providing end-to-end quality of service (QoS) is essential for video transmission over the wireless Internet. Park and Wang [10] consider the optimal problem of designing an adaptive FEC protocol for real-time MPEG video transmission over the Internet without regard to TCP-friendly transmission rate constraints Their proposed FEC-control method adapts the redundancy degree to perceived packet loss on the network. FECon-TQM utilizes an instant frame-level FEC technique to minimize the coding buffering delay experienced by the user, while still maintaining near-highest video quality that the optimal frame-level FEC can obtain within the TCPfriendly rate constraints. Based on the above mentioned techniques of packet redirection and instant frame-level FEC, FEC-on-TQM carries out the transparent loss recovery without any modification of legacy applications and obtains a high delivered video quality for low-delay video streaming services.

TQM architecture
EM-processed
EM types
Packet mapping control EM
TCP-friendly congestion control EM
Adaptive error control EM
Overall structure
FEC-on-TQM design
INSTANT FRAME-LEVEL FEC
TCP-friendly video flows with frame-level FEC
Classification of video frames
Adaptive frame rate allocation
Experimental setup
TQM overhead
The FEC-on-TQM performance
CONCLUSIONS
Full Text
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