Packet-loss modeling for perceptually optimized 3D transmission
Advances in Multimedia
A robust end-to-end delivery scheme for home-media wireless network
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
A cross layer design strategy for video transmission with unequal error protection
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
Research on adaptive FEC for video delivery over WLAN
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Towards a declarative framework for managing application and network adaptations
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
An unequal error protection mechanism for video streaming over IEEE 802.11e WLANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
A novel adaptive FEC and bitrate control in home video transmission over wireless network
International Journal of Autonomous and Adaptive Communications Systems
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This paper proposes an Enhanced Adaptive FEC (EAFEC) algorithm implemented in the Access Point (AP) to improve video delivery over wireless networks. Unlike traditional static FEC mechanisms, which add redundant data to transmission data in a fixed number, the number of redundant FEC data for the EAFEC mechanism is determined by the AP, which is based on both network traffic load and wireless channel state. The algorithm is based on two factors. One of them is the queue length in the access point, indicating network traffic load; the second factor is packet retransmission times, indicating wireless channel state. EAFEC usage would tune FEC data number generated in such a way that it wouldn't unnecessarily add more traffic to network in already congested scenario. Our work shows that the EAFEC algorithm improves system performance by dynamically tuning FEC strength to the current loss in wireless channel. We use NS-2 simulation experiments to prove our algorithm.