基于模糊逻辑的Internet视频流拥塞控制  

Congestion control of Internet video streaming based on fuzzy-logic

作　　者：李红[1] 沈未名[1] 

机构地区：[1]武汉大学遥感测绘信息工程国家重点实验室,武汉430079

出　　处：《计算机应用研究》2009年第5期1871-1873,1876,共4页Application Research of Computers

摘　　要：为了提高视频传输质量,在Internet上对视频流进行拥塞控制,即利用包发送和接收间隔时间(IPGs)代替丢包率作为拥塞指示,采用模糊逻辑拥塞控制策略(FLC)调整视频发送速率并用遗传算法优化模糊控制规则,提高了拥塞控制性能。仿真结果表明,与TFRC和RAP拥塞控制相比,由于FLC发送速率更平滑、带宽利用率更高,从而减少了丢包,提高了视频传输质量;另外,FLC能够与竞争的TCP流公平地分享带宽并对路由器缓冲区大小保持了很好的鲁棒性。Congestion control of video streaming crossing the Internet is a real challenge in order to improve the quality of received video. This paper put forward a fuzzy-logic congestion control strategy （FLC） which changed the sending rate of video streaming, it used packet dispersion instead of packet loss to detect congestion and used genetic algorithm to optimize the fuzzy control rules. Simulation shows that the FLC＇ s sending rate is significantly smoother, allowing it to more closely take up available bandwidth and the packet losses is lower compared with the well-known TFRC and RAP congestion controller. In addition, the FLC is TCP-friendly and is robust to changes in router buffer size.

关 键 词：模糊逻辑 拥塞控制 遗传算法 视频流 

分 类 号：TP393.06[自动化与计算机技术—计算机应用技术]