Title :
Congestion-resistant scalable media stream mapping for an IEEE 802.11E sensor network
Author :
Ali, Ismail A. ; Fleury, Martin ; Ghanbari, Mohammed
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
Abstract :
Mapping an H.264/SVC (Scalable Video Coding) bitstream to the IEEE 802.11e video service class may result in the decoder discarding an excessive number of packets. This is because of dependencies between the discarded packets and those dropped in the service queue. Instead, the paper proposes mapping SVC quality layers across multiple service classes, thereby reducing the impact of traffic congestion upon video quality. Video quality in the sensor network scenario tested was almost stabilized, despite up to 10% packet drops through traffic congestion. An added advantage of the mapping is that the end-to-end delay of the base layer packets was considerably reduced compared to the standard IEEE 802.11e mapping.
Keywords :
telecommunication traffic; video coding; video streaming; wireless LAN; wireless sensor networks; H.264-SVC; IEEE 802.11 sensor network; base layer packets; congestion-resistant scalable media stream mapping; scalable video coding bitstream; traffic congestion; video quality; video service; Ad hoc networks; Automatic voltage control; Decoding; Delay; IEEE 802.11e Standard; Static VAr compensators; Streaming media; H.264/SVC; IEEE 802.11e EDCA; ad hoc wireless network;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652683