Abstract
This paper is concerned with an intelligent application of Moving Picture Expert Group (MPEG) video transmission in a Bluetooth link. MPEG Variable Bit Rate (VBR) video is data hungry and results in excessive data loss and time delay over wireless networks. In a Bluetooth channel transmission rate is unpredictable as result of interferences by channel noises or other close by wireless devices. Therefore, it is difficult to transmit MPEG VBR video in Bluetooth without data loss and/or time delay. A buffer entitled ‘traffic regulating buffer’ is introduced before the Bluetooth protocol stack to prevent excessive overflow of MPEG video data over the network. Two novel neural fuzzy schemes are presented in this paper to monitor the traffic regulating buffer input and output rates, in order to ensure the video stream conforms to the traffic conditions of Bluetooth. The computer simulation results demonstrate that the two supervised neural fuzzy schemes reduce standard deviation and data loss, when compared with a traditional MPEG VBR video transmission over Bluetooth.
This research was funded by EPSRC, UK.
The work was carried out at London Metropolitan University, UK.
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References
Richardson, I.E.G.: H.264 and MPEG-4 Video Compression Video Coding for Next- Generation Multimedia. John Wiley and Sons Ltd., Chichester (2003), ISBN: 0470848375
Zadeh, L.A.: Fuzzy Logic = Computing with Words. IEEE Transaction on Fuzzy Systems 4(2), 103–111 (1996)
Pietrabissa, A., Razzano, G., Andreani, L.: Wireless LANs: an Advanced Control System for Efficient Power Saving. Control Engineering Practice 11(10), 1195–1207 (2003)
Saraireh, M., Saatchi, R., Al-khayatt, S., Strachan, R.: Development and Evaluation of a Fuzzy Inference Engine System to Incorporate Quality of Service in IEEE 802.11 Medium Access Protocol. In: International Conference on Wireless and Mobile Communications, ICWMC 2006, Budapest, pp. 29–29 (2006)
Mandic, D., Chambers, J., Haykin, S.(ed.): Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability. Wiley Series in Adaptive and Learning Systems for Signal Processing, Communications and Control Series (2001)
Bhattacharya, A., Parlos, A.G., Atiya, A.F.: Prediction of MPEG-coded Video Source Traffic using Recurrent Neural Networks. IEEE Transactions on Signal Processing 51(8), 2177–2190 (2003)
Jiang, R., Tian, X., Chen, Y.: A New Bandwidth Prediction Based Wireless Ad-Hoc Video Communication. In: IET Conference Wireless, Mobile and Sensor Networks (CCWMSN 2007), Shanghai, China, pp. 1033–1038 (2007)
Fiengo, P., Giambene, G., Trentin, E.: Neural-Based Downlink Scheduling Algorithm for Broadband Wireless Networks. Computer Communications Journal 30, 207–218 (2007)
Su, J.L., Chen, Y., Ouyang, Z.: GPRS Congestion Control Algorithm Based on Fuzzy Kernel Neural Networks. In: ISDA 2006: Sixth International Conference on Intelligent Systems Design and Application, vol. 1, pp. 954–959 (2006)
Kazemian, H.B., Chantaraskul, S.: An Intelligent MPEG Rate Control in 2.4 GHz Frequency. International Journal of Adaptive Control and Signal Processing 24, 233–248 (2010)
Bhaskaran, V., Konstantinides, K.: Image and Video Compression Standards (1997), ISBN:0792399528
MPEG Tutorial-Introduction and Contents, http://www.bretl.com/mpeghtml/MPEGindex.htm
Ghanbari, M.: Standard Codecs: Image Compression to Advanced Video Coding. In: IET, 2nd edn. (2010), ISBN-10: 086341964X, ISBN-13: 978-0863419645
Holt, A.: Network Performance Analysis: Using the J Programming Language. Springer, Heidelberg (2007), ISBN 1846288223, 9781846288227
User’s guide, Fuzzy logic toolbox, for use with Matlab. The Math. Works Inc. (2008)
Negnevitsky, M.: Artificial Intelligence – a Guide to Intelligent Systems, 2nd edn. Addison-Wesley, Reading (2004)
Movie-List, http://www.movie-list.com/nowplaying.shtml
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Kazemian, H.B., Remy, G.F., Picton, P. (2010). Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth . In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15825-4_50
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DOI: https://doi.org/10.1007/978-3-642-15825-4_50
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