Cluster Computing

, Volume 15, Issue 4, pp 391–400 | Cite as

Traffic management based on token bucket mechanism for WiMAX networks

  • Sahar Ghazal
  • Jalel Ben Othman
  • Jean-Pierre Claudé
Article

Abstract

In large scale networks like the IEEE 802.16 (WiMAX), it is very important not only to monitor, but also to control the amount of traffic injected into the network. This process helps in decreasing congestion and by consequence, in guaranteeing the Quality of Service (QoS) requirements for each class of traffic. In this study we propose a traffic policer based on token bucket concept for WiMAX networks. Token bucket parameters (token rate and bucket size) are adjusted according to the traffic characteristics for each traffic class individually. Simulation results show that the proposed traffic policing technique greatly enhances the network performance. It decreases the average delay for real time traffic like rtPS, and therefore, reduces data drop probability due to missed deadlines. It also decreases data loss probability for non real time service class like nrtPS.

Keywords

IEEE 802.16 WiMAX Traffic policer Token bucket 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    IEEE Standard 802.16-2004, IEEE standard for Local Metropolitan Area Networks, Part16: Air interface for fixed Broadband Wireless Access Systems, June 2004 Google Scholar
  2. 2.
    Ayyorgun, S., Feng, W.: A deterministic characterization of network traffic for average performance guarantees. In: 38th Annual Conference on Information Sciences and Systems (CISS’04), Princeton, NJ, March (2004) Google Scholar
  3. 3.
    Wongthavarawat, K., Ganz, A.: Packet scheduling for QoS support in IEEE 802.16 broadband wireless access systems, Int. J. Commun. Syst. (2003) Google Scholar
  4. 4.
    Tsai, T.-Ch.: CAC and packet scheduling using token bucket for IEEE 802.16 networks. J. Commun. 1(2), 30–37 (2006) Google Scholar
  5. 5.
    Tang, P.P., Tai, T.-Y.C.: Network traffic characterization using token bucket model. In: Proc. 18th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM ’99), vol. 1, pp. 51–62. New York (1999) Google Scholar
  6. 6.
    Ahmed, N.U., Wang, Q., Orosco Barbosa, L.: System approach to modeling the token bucket algorithm in computer networks. Math. Probl. Eng. 8, 265–279 (2002) MathSciNetMATHCrossRefGoogle Scholar
  7. 7.
    Moreira, F., Ruela, J.: A Method for Traffic Scheduling Based on Token Bucket QoS Parameters (2001) Google Scholar
  8. 8.
    Chu, G., Wang, D., Mei, S.: A QoS architecture for the MAC protocol of IEEE 802.16 BWA system. In: International Conference on Communications, IC, July (2002) Google Scholar
  9. 9.
    Catanaia, V., Ficili, G., Palazzo, S., Panno, D.: A comparative analysis of fuzzy versus conventional policing mechanisms for ATM networks. IEEE/ACM Trans. Netw. 4, 449–455 (1996) CrossRefGoogle Scholar
  10. 10.
    Lau, W.T., Phang, K.K., Yaacob, M., Ling, T.C.: Fuzzy logic control in ATM network. Malays. J. Comput. Sci. 12(2), 47–56 (1999) Google Scholar
  11. 11.
    Safavi, A.A., Shames, I., Najmaei, N., Zamani, M.: A new adaptive and intelligent traffic shaper for high speed networks. Int. J. Inf. Sci. Technol., Dec (2007) Google Scholar
  12. 12.
    Vayiasa, E., Soldatosb, J., Kormentzasc, G.: Traffic shaping based on an exponential token bucket for quantitative QoS: implementation and experiments on DiffServ routers. J. Comput. Commun. 29 (2006) Google Scholar
  13. 13.
    Shenker, S., Wroclawski, J.: General characterization parameters for integrated service network elements. RFC 2215, IETF, Nov. 1997 Google Scholar
  14. 14.
    3GPP: QoS Concept and Architecture. TS 23.107 v5.5.0. http://www.3gpp.org, 2002–2006
  15. 15.
    Ghazal, S., Hadjadj Aoul, Y., Ben Othman, J., Nait-Abdesselam, F.: Applying a self-configuring admission control algorithm in a new QoS architecture for IEEE 802.16 networks. In: IEEE Symposium on Computers and Communications, ISCC, July 2008 Google Scholar
  16. 16.
    OPNET 12.0.A. http://www.opnet.com
  17. 17.
    Ghazal, S., Mokdad, L., Othman, J. Ben: A real time adaptive scheduling scheme for multi-service flows in WiMAX networks. In: IEEE Globecom, November 2008 Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Sahar Ghazal
    • 1
  • Jalel Ben Othman
    • 1
  • Jean-Pierre Claudé
    • 1
  1. 1.University of VersaillesVersaillesFrance

Personalised recommendations