Abstract
In a Bluetooth network, transmission rate is unpredictable due to interferences by other wireless devices or general Bluetooth channel noises and presents long delay and excessive data loss, due to variations in bit rate. It is therefore almost impossible to transmit MPEG VBR video over a Bluetooth channel, without data loss, excessive time delay or image quality degradation. This paper presents an integrated Neuro-Fuzzy scheme and a Rule-Based-Fuzzy scheme applications to Moving Picture Expert Group video transmission in Bluetooth. In this work, a traffic-shaping buffer is introduced before the Host Controller Interface (HCI) of the Bluetooth protocol stack. The computer simulation results show that the application of the proposed scheme reduces excessive time delay and data loss at the HCI, as compared with a conventional video transmission in Bluetooth.
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