文章基本信息

标题：A Fuzzy Logic Based Network Congestion Control Using Active Queue Management Techniques
其他标题：A Fuzzy Logic Based Network Congestion Control Using Active Queue Management Techniques
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作者：I. K. Tabash ; M. A. Mamun ; A. Negi 等
期刊名称：Journal of Scientific Research
印刷版ISSN：2070-0237
电子版ISSN：2070-0245
出版年度：2010
卷号：2
期号：2
页码：273-284
DOI：10.3329/jsr.v2i2.2786
语种：English
出版社：Rajshahi University
摘要：Conventional IP routers are passive devices that accept packets and perform the routing function on any input. Usually the tail-drop (TD) strategy is used where the input which exceeds the buffer capacity are simply dropped. In active queue management (AQM) methods routers manage their buffers by dropping packets selectively. We study one of the AQM methods called as random exponential marking (REM). We propose an intelligent approach to AQM based on fuzzy logic controller (FLC) to drop packets dynamically, keep the buffer size around desired level and also prevent buffer overflow. Our proposed approach is based on REM algorithm, which drops the packets by drop probability function. In our proposal we replace the drop probability function by a FLC to drop the packets, stabilize the buffer around the desired size and reduce delay. Simulation results show a better regulation of the buffer. Keywords: Random exponential marking; Active queue management; Fuzzy logic controller; Pro-active queue management. © 2010 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved. DOI: 10.3329/jsr.v2i2.2786 J. Sci. Res. 2 (2), 273-284 (2010)
关键词：Information Technology;Random Exponential Marking (REM); Active Queue Management (AQM); Fuzzy logic controller (FLC); Pro-Active Queue Management (PAQM).