A Novel High Performance Fuzzy Controller Applied to Traffic Control of ATM Networks

  • Mahdi Jalili-Kharaajoo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)


In this paper, we will design a fuzzy logic based intelligent high performance traffic controller for Asynchronous Transfer Mode (ATM) networks. In the proposed fuzzy traffic controller, the actual mean cell rate of traffic source is estimated and the traffic controller is adjusted so its loss load is equal to generated excessive load. Simulation results show that the proposed fuzzy traffic controller can outperform the traditional Usage Parameter Control (UPC) mechanisms.


Asynchronous Transfer Mode Link Utilization Traffic Source Connection Admission Control Leaky Bucket 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Wei, Lisheng, H., Huihe, S.: Flow control based on Dahlin control algorithm in ATM networks. In: Proc. American Control Conference, pp. 2449–2454 (2002)Google Scholar
  2. 2.
    Jaganattan, S., Talluri, J.: Adaptive predictive congestion control of high speed ATM networks. IEEE Trans. Brodcasting 48(2), 129–130 (2002)CrossRefGoogle Scholar
  3. 3.
    Tarbonriech, S., Abdallah, C.T., Ariola, M.: Bounded control of multiple-delay systems with application to ATM networks. In: Proc. 40th IEEE CDC, pp. 2315–2320 (2001)Google Scholar
  4. 4.
    Jaganattan, S., Tohmaz, A.: Congestion control of ATM networks using a learning methodology. In: Proc. IEEE Conf. Control Application, Mexico, pp. 135–140 (2001)Google Scholar
  5. 5.
    Turner, J.S.: New directions in communications (or which way in the information age?). In: Proc. Int. Zurich Sym. Digit. Communication, Zurich, Switzerland, pp. 25–32 (1986)Google Scholar
  6. 6.
    Rathgeb, E.P.: Modeling and performance comparison of policing mechanisms for ATM networks. IEEE JSAC 9(3), 325–334 (1991)Google Scholar
  7. 7.
    Buto, M., Cavallero, E.: Effectiveness of the leaky bucket policing mechanism in ATM networks. IEEE JSAC 9(3), 335–342 (1991)Google Scholar
  8. 8.
    Yamanaka, N., Sato, Y., Sato, K.: Performance limitation of leaky bucket algorithm for usage parameter control and bandwidth allocation method. IEICE Trans. Comm. E-75-B, 82–86 (1992)Google Scholar
  9. 9.
    Catania, V., Ficilini, G., Palaazo, S., Panno, D.: A comparative analysis of Fuzzy versus Conventional policing mechanisms for ATM networks. IEEE/ACM Trans. Networking 4, 449–459 (1996)CrossRefGoogle Scholar
  10. 10.
    Bensaou, Chu, S.T.C., Tsang, D.H.K.: Estimation of the cell loss ratio in ATM networks with a fuzzy system and application to measured-based call admission control. IEEE/ACM Trans. Networking 5(4), 572–584 (1997)CrossRefGoogle Scholar
  11. 11.
    Douligeris, Develekos, G.: A fuzzy logic approach to congestion control in ATM networks. In: Proc. IEEE Int. Conf. Communication, WA, USA, pp. 1969–1973 (1995)Google Scholar
  12. 12.
    Pitsillidies, Sekercioglu, Y.A.: Fuzzy logic control of cell flow in ATM. In: Proc. Australian Telecommunication Network application Conference, pp. 249–254 (1994)Google Scholar
  13. 13.
    Ghosh, S., Rezouqi, Q., Schumacher, H.J., Celmins, A.: A survey of recent advances in fuzzy logic in telecommunication networks and new challenges. IEEE Trans. Fuzzy Sys. 6(3), 443–447 (1998)CrossRefGoogle Scholar
  14. 14.
    Heffes, H., Lucantoni, D.: A markov modulated characterization of packetized voice and data traffic and related statistical multiplexer performance. IEEE JSAC 6, 856–868 (1986)Google Scholar
  15. 15.
    Lee, C.C.: Fuzzy logic in control systems: Fuzzy logic controller, part II. IEEE Trans. Systems, Man, Cybernetics 20(2), 419–432 (1990)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Mahdi Jalili-Kharaajoo
    • 1
  1. 1.Young Researchers ClubIslamic Azad UniversityTehranIran

Personalised recommendations