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Reseach Article

Fuzzy Neuro Approach for Active Queue Management

by Vishal Chandra, Savita Shiwani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 22
Year of Publication: 2015
Authors: Vishal Chandra, Savita Shiwani

Vishal Chandra, Savita Shiwani . Fuzzy Neuro Approach for Active Queue Management. International Journal of Computer Applications. 116, 22 ( April 2015), 34-38. DOI=10.5120/20470-2607

@article{ 10.5120/20470-2607,
author = { Vishal Chandra, Savita Shiwani },
title = { Fuzzy Neuro Approach for Active Queue Management },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 22 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { },
doi = { 10.5120/20470-2607 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:57:52.974497+05:30
%A Vishal Chandra
%A Savita Shiwani
%T Fuzzy Neuro Approach for Active Queue Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 22
%P 34-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Out internet is growing dressily day and night. One of the major problem in internet is to reduce the loss of packet during transmission. There are various nodes or devices so called router, switch, hub, and repeater are there between sender and receiver. Since the responsibility of network layer to transfer the packet to source to destination. Router is a network layer device, which route the data packets. Router give the path to the packets so that they reach the destination with minimum time and minimum loss. Each and every router has a buffer space in which packets wait for processing. This is known as queue of packets. These are also known as active queue, because they are alive they are waiting for processing they wait due to router processor speed, incoming packet rate, outgoing packet rates also due to difference of band width between incoming and outgoing packets. There are various active queue management mechanism or algorithm were developed such as RED, BLUE, SFB, CHOKE, PURPLE etc. but have their pros and cons. In this paper active queue management is done by using fuzzy logic. Basically fuzzy logic is used for decision making. Same here which packet have to drop or which not will be decided by fuzzy logic and some parameters which are used in this paper. There will be some membership graphs and rules and Mamdani mechanism use to get appropriate answer. Also a dataset is used to validate the theory.

  1. B. Braden, D. Clark, J. Crowcroft, B. Davie, S. Deering, D. Estrin, S. Floyd, V. Jacobson, G. Minshall, C. Partridge,L. Peterson, K. Ramakrishnan,S. Shenker, J. Wroclawski, & L. Zhang, Recomedations on Queue Management and Congestion Avoidance in the Internet,RFC2309, April 1998.
  2. C. Hollot, V. Misra, D. Towsley, and W. Gong. A Control Theoretic Analysis of RED. in Proceedings of IEEE INFOCOM'01. Anchorage, Alaska, USA, April 2001,1510-1519.
  3. C. Hollot, V. Misra, D. Towsley, and W. Gong. On designing Improved Controllers for AQM Routers Supporting TCP Flows. in Proceedings of IEEE INFOCOM'01, Anchorage, Alaska, USA, April 2001,1726-1734.
  4. David Lapsley and Steven Low, Random Early Marking for Internet Congestion Control[A], in Proceedings of IEEE Globecom'99,Rio de Janeiro. Brazil,December 1999,1747-1752.
  5. F. Anjum and L. Tassiulas, Balanced-RED:An Algorithm to Achieve Fairness in Internet. http://www. isr. umd. edu/CSHCN/
  6. Lin, D. and Morris, R. , Dynamics of random early detection,in Proceedings of ACM SIGCOMM'97,Cannes, France, October 1997,127-137.
  7. M. May, J. Bolot, C. Diot, and B. Lyles. Reasons Not to Deploy RED. in Proceedings of 7th. International Workshopon Quality of Service (IWQoS'99), London, UK, June 1999, 260-262.
  8. Munron. Modern Approaches to Control System Design. New York,Prentice-Hall,Inc. 1979.
  9. Ott, T. , Lakshman, T. and Wong, L. , SRED: Stabilized RED,in Proceedings of INFOCOM'99, New York, NY, March 1999, 1346-1355.
  10. Pan, R. , Prabhakar, B. and Psounis, K. , CHOKe - A Stateless Active Queue Management Scheme For Approximating Fair Bandwidth Allocation,in Proceedings of INFOCOM'00, Tel-Aviv, Israel, April 2000, 942-951.
  11. Ren Fengyuan, Lin Chuang, Ying Xunhe, Shan Xiuming, Wang Fubao. A Robust Active Queue Management Algorithm Based on Sliding Mode Variable Structure Control. in Proceedings of INFOCOM'02,New York,USA,June 2002,64-79.
  12. R. Mahajan, S. Floyd, D. Wetheral. Controlling High-Bandwidth Flows at Congested Router, in Proceedings of
  13. S. Floyd, and V. Jacobson, Random Early Detection Gateways for Congestion Avoidance, IEEE/ACM Transactions on Networking, vol. 1 no. 4, August 1993, 397-413.
  14. S. Floyd, Recommendations on using the gentle "variant of RED",http://www. aciri. org/floyd/red/gentle. html.
  15. S. Floyd, R. Gummadi, and S. Shenker. Adaptive RED: an algorithm for increasing the robustness of RED's Active Queue Management. http://www. icir. org/˜ floyd.
  16. Vishal Misra, Wei-Bo Gong, and Don Towsley,Fluid-based Analysis of a Network of AQM Routers Supporting TCP Flows with an Application to RED,in Proceedings of ACM SIGCOMM'00, Stockholm, Sweden,August 2000,151-160
  17. Bonissone, P. P. and Badami, V. and Chiang, K. H. and Khedkar, P. S. and Marcelle, K. W. and Schutten, M. J. , "Industrial applications of fuzzy logic at General Electric", Proceedings of the IEEE, 1995, Volume 83, 450--465
  18. Boskovitz, V. and Guterman, H. , "An adaptive neuro-fuzzy system for automatic image segmentation and edge detection", Fuzzy Systems, IEEE Transactions on, 2002, Volume 10, 247—262
  19. Klement, E. P. and Slany, W. , "Fuzzy logic in artificial intelligence", Christian Doppler Laboratory Technical Reports, 1994, Volume 67
Index Terms

Computer Science
Information Sciences


AQM Active Queue Management Fuzzy logic fuzzy theory membership graph congestion control