Abstract
This paper is to introduce an application of Artificial Intelligence (AI) to Moving Picture Expert Group-4 (MPEG-4) video compression over IEEE.802.15.1 wireless communication in order to improve quality of picture. 2.4GHz Industrial, Scientific and Medical (ISM) frequency band is used for the IEEE 802.15.1 standard. Due to other wireless frequency devices sharing the same carrier, IEEE 802.15.1 can be affected by noise and interference. The noise and interference create difficulties to determine an accurate real-time transmission rate. MPEG-4 codec is an “object-oriented” compression system and demands a high bandwidth. It is therefore difficult to avoid excessive delay, image quality degradation or data loss during MPEG-4 video transmission over IEEE 802.15.1 standard. Two buffers have been implemented at the input of the IEEE 802.15.1 device and at the output respectively. These buffers are controlled by a rule based fuzzy logic controller at the input and a neural fuzzy controller at the output. These rules manipulate and supervise the flow of video over the IEEE 802.15.1 standard. The computer simulation results illustrate the comparison between a non-AI video transmission over IEEE 802.15.1 and the proposed design, confirming that the applications of intelligent technique improve the image quality and reduce the data loss.
This work was funded by Engineering and Physical Sciences Research Council (EPSRC), UK. The work was carried out at the London Metropolitan University, UK.
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Remy, G.F., Kazemian, H.B. (2009). Application of Neural Fuzzy Controller for Streaming Video over IEEE 802.15.1. In: Palmer-Brown, D., Draganova, C., Pimenidis, E., Mouratidis, H. (eds) Engineering Applications of Neural Networks. EANN 2009. Communications in Computer and Information Science, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03969-0_39
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DOI: https://doi.org/10.1007/978-3-642-03969-0_39
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