A Fuzzy Logic Based Network Congestion Control Using Active Queue Management Techniques

Authors

  • I. K. Tabash Department of Computer and Information Sciences, University of Hyderabad, India
  • M. A. Mamun
  • A. Negi Department of Computer Science & Information Technology, Bangladesh

DOI:

https://doi.org/10.3329/jsr.v2i2.2786

Keywords:

Random Exponential Marking (REM), Active Queue Management (AQM), Fuzzy logic controller (FLC), Pro-Active Queue Management (PAQM).

Abstract

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)

 

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Author Biographies

I. K. Tabash, Department of Computer and Information Sciences, University of Hyderabad, India

I. K. Tabash

Department of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad, 500046, India

 

    

M. A. Mamun

Lecturer                                 

Department of Computer Science & Information Technology

Islamic University of Technology (IUT)

Board Bazar, Gazipur -1704. Bangladesh.

A. Negi, Department of Computer Science & Information Technology, Bangladesh

Department of Computer Science & Information Technology

Islamic University of Technology (IUT)

Board Bazar, Gazipur -1704. Bangladesh

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Published

2010-04-26

How to Cite

Tabash, I. K., Mamun, M. A., & Negi, A. (2010). A Fuzzy Logic Based Network Congestion Control Using Active Queue Management Techniques. Journal of Scientific Research, 2(2), 273–284. https://doi.org/10.3329/jsr.v2i2.2786

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Section

Section A: Physical and Mathematical Sciences