Abstract
IEEE 802.11 MAC protocol ist the de facto standard for wireless local area networks (WLANs). In today’s Internet, the emerging widespread use of real-time voice, audio, and video applications makes QoS (Quality of Service) a key problem. At the MAC layer, 802.11e defines extensions to enhance the QoS performance of 802.11 WLAN. This MAC layer solution leaves such issues of QoS as QoS guarantee and admission control to the traffic control systems at the higher layers. This article tries to show that implementation of some mechanisms of traffic shaping causes some improvement of the level of QoS in WLANs. First we analyse the influence of the traffic shaping in WLANs stations by the mechanism of token bucket filter. Next the analysis of the behaviour of Access Point with AQM mechanism was carried out. The conducted research has shown that it is possible to achieve certain level of QoS thanks to the implementation of traffic shaping mechanisms. We make our experiments comparatively for the traffic sources with self-similarity and without it. Our results confirm the necessity of taking into account the self-similar character of wireless traffic.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Stallings, W.: Wireless Communications and Networks. Prentice-Hall, Englewood Cliffs (2002)
O’Hara, B., Petrick, A.: IEEE 802.11 handbook, A designer’s companion. IEEE Press, Los Alamitos (1999)
IEEE Standard for Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications. ISO/IEC 8802-11:1999(E) (August 1999)
Chatzimisios, P., Boucouvalas, A.C., Vitsas, V.: Performance analysis of the IEEE 802.11 MAC protocol for wireless LANs. International Journal Of Comunications Systems (18) (2005)
Vaidya, N.H., Bahl, P., Gupta, S.: Distributed fair schedulig in a wireless LANs. In: Sixth Annual International Conference on Mobile Computing and Networking, Boston, USA (June 2000)
Benveniste, M., Chesson, G., Hoeben, M., Singla, A., Teunissen, H., Wentink, M.: EDCF proposed draft text. IEEE working document 802.11-01/131r1 (2001)
Dukju, K., Seungjae, H., Hojung, Ch., Rhan, H.: A traffic control system for IEEE 802.11 networks based on available bandwidth estimation. In: Wireless Communications and Mobile Computing 2008, vol. 8, pp. 407–419. John Wiley & Sons, Chichester (2008)
Willinger, W., Leland, W.E., Taqqu, M.S.: On the self-similar nature of ethernet traffic. IEEE/ACM Transactions on Networking (1994)
Domańska, J., Domański, A., Czachórski, T.: Self-similarity of network traffic and the performance of QoS mechanisms. Archiwum Informatyki Teoretycznej i Stosowanej 16(3) (2004)
Paxson, V., Floyd, S.: Wide Area Traffic: A Failure of Poisson Modeling. IEEE/ACM Transactions on Networking (June 1995)
Crovella, M., Bestavros, A.: Self-similarity in World Wide Web Traffic: Evidence and Possible Causes. IEEE/ACM Transactions on Networking (December 1997)
Garret, M., Willinger, W.: Analysis, modeling and generation of self-similar VBR video traffic. ACM SIGCOMM, London (September 1994)
Qiang, N., Turletti, T.: QoS Support for IEEE 802.11 WLAN. In: Wireless LANs and Bluetooth, pp. 432–438. Nova Science Publishers, New York (2005)
Kleinrock, L.: Queueing Systems, vol. II. Wiley, New York (1976)
Mandelbrot, B., Ness, J.V.: Fractional Brownian Motions, Fractional Noises and Applications. SIAM Review 10 (October 1968)
Beran, J.: Statistics for Long-Memory Processes. Chapman and Hall, Boca Raton (1994)
Cox, D.R.: ”Long-range dependance: A review”. Statistics: An Appraisal (1984)
Stallings, W.: High-Speed Networks: TCP/IP and ATM Design Principles. Prentice-Hall, Englewood Cliffs (1998)
Liang, Q.: Ad Hoc Wireless Network Traffic - Self-Similarity and Forecasting. IEEE Communications Letters 6(7) (2002)
Oliveira, C., Kim, J.B., Suda, T.: Long-Range Dependence in IEEE 802.11b Wireless LAN Traffic: An Empirical Study. In: IEEE Annual Workshop on Computer Communications (2003)
Lee, I.W.C., Fapojuwo, A.O.: Characteristic of Wireless LAN Traffic. Wireless Networks and Emerging Technologies (2004)
Qin, Y., Yuming, M., Taijun, W., Fan, W.: Hurst parameter estimation and characteristics analysis of aggregate wireless LAN traffic. Communications, Circuits and Systems 1, 339–345 (2005)
Robert, S.: Modélisation Markovienne du Trafic dans Réseaux de Communication. PhD thesis, Ecole Polytechnique Fédérale de Lausanne, Nr 1479 (1996)
Robert, S., Boudec, J.Y.L.: New models for pseudo self-similar traffic. Performance Evaluation 30(1-2) (1997)
OMNeT++ Community Site, http://www.omnetpp.org
Domańska, J.: Procesy Markowa w modelowaniu nateżenia ruchu w sieciach komputerowych. PhD thesis, IITiS PAN, Gliwice (2005)
Zhai, H., Kwon, Y., Fang, Y.: Performance analysis of the IEEE 802.11 MAC protocol in wireless LANs. Wireless Communications And Mobile Computing (4) (2004)
Domańska, J., Domański, A., Czachórski, T.: The Drop-From-Front Strategy in AQM. In: Koucheryavy, Y., Harju, J., Sayenko, A. (eds.) NEW2AN 2007. LNCS, vol. 4712, pp. 61–72. Springer, Heidelberg (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Domański, A., Domańska, J., Czachórski, T. (2008). The Impact of Self-similarity on Traffic Shaping in Wireless LAN. In: Balandin, S., Moltchanov, D., Koucheryavy, Y. (eds) Next Generation Teletraffic and Wired/Wireless Advanced Networking. NEW2AN 2008. Lecture Notes in Computer Science, vol 5174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85500-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-85500-2_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85499-9
Online ISBN: 978-3-540-85500-2
eBook Packages: Computer ScienceComputer Science (R0)