DocumentCode
2902842
Title
Intelligent approach to video transmission over 2.4 GHz wireless technology
Author
Kazemian, H.B. ; Chantaraskul, S.
Author_Institution
Dept. of Comput., London Metropolitan Univ., London
fYear
2008
fDate
1-6 June 2008
Firstpage
246
Lastpage
250
Abstract
Video transmission over dynamic channels like 2.4 GHz wireless technology is unpredictable, because of interferences caused by other wireless devices in the same ISM (industrial, scientific and medicine) frequency band and/or general channel noises. Transmitting moving picture expert group (MPEG) video stream over wireless technology also presents a challenge, as MPEG demands large bandwidth. Considering these issues, an intelligent transmission is introduced in this research so that the controller may adjust itself to the current state of the wireless channel in order to sustain MPEG video quality during the communication process. A neural-fuzzy controller and a rule-based fuzzy controller are implemented in the design to monitor input - output of a traffic shaping buffer and offer suitable parameters for the MPEG encoder for video transmission over the network. Matlab computer simulation results show that the proposed method reduces data loss and improves image quality as compared with traditional MPEG video transmission over 2.4 GHz wireless technology.
Keywords
fuzzy control; fuzzy neural nets; knowledge based systems; neurocontrollers; radiofrequency interference; telecommunication control; telecommunication traffic; video streaming; wireless channels; MPEG encoder; Matlab computer simulation; dynamic channels; industrial scientific and medicine; intelligent transmission; moving picture expert group; neural-fuzzy controller; rule-based fuzzy controller; traffic shaping buffer; video stream; video transmission; wireless technology; Bandwidth; Biomedical imaging; Communication system control; Communication system traffic control; Frequency; Interference; MPEG standards; Process control; Shape control; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1098-7584
Print_ISBN
978-1-4244-1818-3
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2008.4630372
Filename
4630372
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