Skip to main content
Springer Nature Link
Log in

Design of a Multi-model Fuzzy Controller for AQM

  • Conference paper
Fuzzy Systems and Knowledge Discovery (FSKD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4223))

Included in the following conference series:

  • 1240 Accesses

Abstract

Given the fact that the current Internet is getting more difficult in handling the traffic congestion control, new techniques are required. This paper proposes a multi-model fuzzy controller for AQM routers which consolidates the advantages of FLC and PID controller. Simulation results show that the proposed AQM scheme does improve the end-to-end performance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Braden, B., Clark, D., Crowcroft, J., Davie, B., et al.: Recomedations on Queue Management and Congestion Avoidance in the Internet, RFC 2309 (April 1998)

    Google Scholar 

  2. Ren, F., Ren, Y., Shan, X.: Design of a fuzzy controller for active queue management. Computer Communications 25, 874–883 (2002)

    Article  Google Scholar 

  3. Di Fatta, G., Hoffmann, F., Lo Re, G., Urso, A.: A genetic algorithm for the design of a fuzzy controller for active queue management. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 33(3) (August 2003)

    Google Scholar 

  4. Kharaajoo, J.: Active queue management by means of fuzzy sliding mode control theory. In: The 6th International Conference on Advanced Communication Technology, 2004, vol. 2, pp. 670–674 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer College, National University of Defense Technology, Hunan, 410073, P.R. China

    Ming Liu, Wen-hua Dou & Rui Xiao

Authors
  1. Ming Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wen-hua Dou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rui Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University,, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Life Science Research Center, School of Electronic Engineering, Xidian University,, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  3. School of Electrical and Electronic Engineering, Xidian University, 710071, Xi’an, China

    Guanming Shi

  4. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, Queensland, Australia

    Xue Li

  5. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, M., Dou, Wh., Xiao, R. (2006). Design of a Multi-model Fuzzy Controller for AQM. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_90

Download citation

  • DOI: https://doi.org/10.1007/11881599_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45916-3

  • Online ISBN: 978-3-540-45917-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics