An intelligent traffic control for MPEG video over Bluetooth using fuzzy controllers

P. Thakare, S. Sawarkar
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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.
基于模糊控制器的蓝牙MPEG视频智能流量控制
在蓝牙网络中,由于其他无线设备的干扰或一般蓝牙信道噪声,传输速率是不可预测的,并且由于比特率的变化,呈现出长时间的延迟和过多的数据丢失。因此,在没有数据丢失、过多的时间延迟或图像质量下降的情况下,通过蓝牙信道传输MPEG VBR视频几乎是不可能的。本文提出了一种集成的神经模糊方案和一种基于规则的模糊方案在蓝牙运动图像专家组视频传输中的应用。在这项工作中,在蓝牙协议栈的主机控制器接口(HCI)之前引入了流量整形缓冲区。计算机仿真结果表明,与传统的蓝牙视频传输相比,该方案的应用减少了HCI过多的时间延迟和数据丢失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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