TY - GEN
T1 - On cross-layer adaptive IEEE 802.11 E EDCA MAC design for optimized H.264 video delivery over wireless mesh networks
AU - Oh, Byung Joon
AU - Chen, Chang Wen
AU - Kostanic, Ivica
AU - Shin, Seung Ho
AU - Lee, Ki Young
PY - 2010
Y1 - 2010
N2 - We present in this paper a reliable optimized transmission of H.264 video streaming over IEEE 802.11e Wireless Mesh Networks (WMNs) based on a Cross-Layer Adaptive Enhanced Distributed Channel Access (CLA-EDCA) MAC architecture. The IEEE 802.11e EDCA offers a prioritized transmission to guarantee the minimum packets delay and drop rate needed for time bound applications, such as VoIP and Video. However, the standard EDCA scheme does not adapt to the network state to support time critical applications. In order to resolve the problems associated with standard EDCA, we highlight a novel adaptive architecture so as to change the Contention Window (CW) after each successful or unsuccessful transmission according to the current network conditions. We have integrated this cross-layer adaptive scheme leveraging smart forward error correction (FEC) schemes through channel state estimation (CSE) to achieve the optimal video transmission adapting to the network conditions. We have also explored several network level metrics, including bit rate, packets delay and drop rate, to evaluate the proposed scheme in comparison with IEEE 802.11c EDCA standard. Based on these extensive simulation results, we tested H.264 video transmission with both the proposed CLA-EDCA and the standard EDCA MAC. Simulation results have confirmed that the proposed CLA-EDCA outperforms the standard IEEE 802.11e EDCA by a significant margin with smart-EEC adapting to the network conditions over WMNs.
AB - We present in this paper a reliable optimized transmission of H.264 video streaming over IEEE 802.11e Wireless Mesh Networks (WMNs) based on a Cross-Layer Adaptive Enhanced Distributed Channel Access (CLA-EDCA) MAC architecture. The IEEE 802.11e EDCA offers a prioritized transmission to guarantee the minimum packets delay and drop rate needed for time bound applications, such as VoIP and Video. However, the standard EDCA scheme does not adapt to the network state to support time critical applications. In order to resolve the problems associated with standard EDCA, we highlight a novel adaptive architecture so as to change the Contention Window (CW) after each successful or unsuccessful transmission according to the current network conditions. We have integrated this cross-layer adaptive scheme leveraging smart forward error correction (FEC) schemes through channel state estimation (CSE) to achieve the optimal video transmission adapting to the network conditions. We have also explored several network level metrics, including bit rate, packets delay and drop rate, to evaluate the proposed scheme in comparison with IEEE 802.11c EDCA standard. Based on these extensive simulation results, we tested H.264 video transmission with both the proposed CLA-EDCA and the standard EDCA MAC. Simulation results have confirmed that the proposed CLA-EDCA outperforms the standard IEEE 802.11e EDCA by a significant margin with smart-EEC adapting to the network conditions over WMNs.
UR - https://www.scopus.com/pages/publications/84890827991
M3 - Conference contribution
AN - SCOPUS:84890827991
SN - 9781936338030
T3 - IMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedings
SP - 224
EP - 229
BT - IMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedings
T2 - 3rd International Multi-Conference on Engineering and Technological Innovation, IMETI 2010
Y2 - 29 June 2010 through 2 July 2010
ER -