An Intelligent Video Streaming Technique in Wireless Communications

This paper is concerned with an intelligent application of Moving Picture Expert Group (MPEG) video transmission over a Bluetooth Asynchronous ConnectionLess (ACL) link. MPEG Variable Bit Rate (VBR) video is data hungry and presents excessive time delay and data loss over a wireless communication. In a Bluetooth channel transmission rate could also be irregular, due to interferences caused by Bluetooth channel noises or other nearby wireless devices. Therefore, it is difficult to transmit MPEG VBR video over Bluetooth without time delay or data loss. A buffer entitled ‘traffic-shaper’ is introduced before the Host Controller Interface (HCI) of the Bluetooth protocol stack to prevent excessive overflow of MPEG video data over the network. This paper presents a novel Self-tuning Neuro-Fuzzy (SNF) scheme to monitor the trafficshaping buffer output rate, in order to make sure the video stream conforms to the traffic conditions of the Bluetooth ACL link. The Matlab-Simulink computer simulation results demonstrate that the use of the SNF control scheme reduces time delay and data loss, as compared with a conventional MPEG VBR video transmission over Bluetooth.