DocumentCode
3323274
Title
A wireless video transmission control approach through Stochastic Dynamic Programming
Author
Miguel, Víctor ; Cabrera, Julián ; Jaureguizar, Fernando ; García, Narciso
Author_Institution
Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
4457
Lastpage
4460
Abstract
This paper presents an intelligent, rate-limited multicast video transmission optimization scheme for video distribution over 802.11 wireless networks based on packet retransmissions. We propose a problem formulation which involves the characteristics of the encoded stream together with the behaviour of the wireless channel. Using standard Stochastic Dynamic Programming techniques, optimal control policies are obtained off-line. These policies are optimal in the sense of minimizing the expected distortion at the terminal. In addition, the on-line complexity or our approach is very low since the optimization problem is solved off-line. The performance of our scheme has been evaluated in a real scenario and compared with that of a limited rate ARQ algorithm. The results for our proposed system show a higher packet recovery rate and a better protection of information with a higher priority.
Keywords
automatic repeat request; dynamic programming; optimal control; stochastic processes; telecommunication control; video communication; wireless LAN; wireless channels; 802.11 wireless networks; ARQ algorithm; multicast video transmission; optimization; retransmission policy; stochastic dynamic programming; video distribution; wireless channel; wireless transmission control; Automatic repeat request; Logic gates; Optimization; Radiation detectors; Streaming media; Wireless communication; Wireless sensor networks; 802.11; ARQ; QoS; RTP; Stochastic Dinamic Programming; retransmission policy; wireless channel;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5650881
Filename
5650881
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