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基于模糊逻辑的Internet视频流拥塞控制
引用本文:李红,沈未名. 基于模糊逻辑的Internet视频流拥塞控制[J]. 计算机应用研究, 2009, 26(5): 1871-1873
作者姓名:李红  沈未名
作者单位:武汉大学,遥感测绘信息工程国家重点实验室,武汉,430079
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。

关 键 词:模糊逻辑;拥塞控制;遗传算法;视频流

Congestion control of Internet video streaming based on fuzzy-logic
LI Hong,SHEN Wei-ming. Congestion control of Internet video streaming based on fuzzy-logic[J]. Application Research of Computers, 2009, 26(5): 1871-1873
Authors:LI Hong  SHEN Wei-ming
Affiliation:(State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, China)
Abstract: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 avai-lable bandwidth a...
Keywords:fuzzy logic   congestion control   genetic algorithm   video streaming
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