http://iet.metastore.ingenta.com
1887

Theoretical framework for quality of service analysis of differentiated traffic in 802.11 wireless local area networks

Theoretical framework for quality of service analysis of differentiated traffic in 802.11 wireless local area networks

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In this study, the authors provide an analytical framework to assess network-level quality of service (QoS) measures for differentiated, non-saturated traffic in infrastructure-mode 802.11 wireless local area networks using the distributed coordination function access mechanism. The authors build on a general analytical framework that takes into account the medium access control (MAC) access mechanism, the MAC layer packet buffer and the characteristics of the offered load to obtain the probability of a collision with M classes of traffic. The authors then derive analytical expressions for the throughput, the end-to-end packet delay and the packet delay outage probability for differentiated traffic. A case study of voice-over-IP (VoIP) traffic in 802.11b/g networks is used to validate the theoretical framework. The analytical results are in good agreement with the simulation results, showing that although the collision probability for packets transmitted at the access point (AP) is lower than for packets transmitted from the clients, the end-to-end delay in the downlink is much longer than that in the uplink because of the large queuing delay because of the multiplexing of several VoIP connections at the AP. The authors also compare the maximum number of VoIP connections that can be admitted in an 802.11 network while respecting their QoS constraints; these were computed with the proposed theoretical model, an ns-2 simulation model and other schemes previously proposed in the literature. The results indicate that their approach is more accurate over a wide range of parameter values, thus demonstrating the validity, the flexibility and the robustness of the proposed theoretical framework.

References

    1. 1)
      • IEEE Std 802.11–1997: ‘IEEE standard for information technology – telecommunications and information exchange between systems – local and metropolitan area networks-specific requirements – part 11: wireless lan medium access control (MAC) and physical layer (PHY) specifications’, 1997.
    2. 2)
      • Chhaya, H.S., Gupta, S.: `Throughput and fairness properties of asynchronous data transfer methods in the IEEE 802.11 MAC protocol', Proc. Sixth IEEE Int. Symp. on Personal, Indoor and Mobile Radio Communications (PIMRC), September 1995, Toronto, Canada, 2, p. 613–617.
    3. 3)
      • Ho, T.-S., Chen, K.-C.: `Performance analysis of IEEE 802.11 CSMA/CA medium access control protocol', Proc. Seventh IEEE Int. Symp. on Personal, Indoor and Mobile Radio Communications (PIMRC), October 1996, Taipei, Taiwan, 2, p. 407–411.
    4. 4)
      • Cali, F., Conti, M., Gregori, E.: `IEEE 802.11 wireless LAN: capacity analysis and protocol enhancement', Proc. 17th Annual Joint Conf. on IEEE Computer and Communications Societies (INFOCOM), March–April 1998, San Francisco, CA, 1, p. 142–149.
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • Chatzimisios, P., Boucouvalas, A.C., Vitsas, V.: `IEEE 802.11 packet delay – a finite retry limit analysis', Proc. Global Telecommunications Conf. (GLOBECOM), December 2003, San Francisco, CA, 2, p. 950–954.
    9. 9)
      • Tickoo, O., Sikdar, B.: `A queueing model for finite load IEEE 802.11 random access MAC', Proc. IEEE Int. Conf. on Communications (ICC), June 2004, Paris, France, 1, p. 175–179.
    10. 10)
      • Garg, S., Kappes, M.: `An experimental study of throughput for UDP and VoIP traffic in IEEE 802.11b networks', Proc. IEEE Wireless Communications and Networking Conf. (WCNC), March 2003, New Orleans, LA, 3, p. 1748–1753.
    11. 11)
      • Medepalli, K., Gopalakrishnan, P., Famolari, D., Kodama, T.: `Voice capacity of IEEE 802.11b, 802.11a and 802.11 g wireless LANs', Proc. IEEE Global Telecommunications Conf. (GLOBECOM), November–December 2004, Dallas, TX, 3, p. 1549–1553.
    12. 12)
    13. 13)
    14. 14)
      • Ortiz, C., Frigon, J., Sansò, B., Girard, A.: `Effective bandwidth evaluation for VoIP applications in IEEE 802.11 networks', Proc. Int. Wireless Communications and Mobile Computing Conf. (IWCMC), August 2008, Crete Island, Greece, p. 926–931.
    15. 15)
      • Gnassou, A., Frigon, J., Sansò, B.: `Impact of wireless channel on VoIP QoS and admission regions in IEEE 802.11 g WLANs', Proc. IEEE Int. Conf. on Wireless and Mobile Computing, Networking and Communications (WiMob), October 2008, Avignon, France, p. 63–68.
    16. 16)
    17. 17)
      • D. Gross , D.M. Harris . (1974) Fundamentals of queueing theory.
    18. 18)
      • D. Bertsekas , R. Gallager . (1992) Data networks.
    19. 19)
      • ‘The network simulator – ns-2’, accessed on 8 March 2012. Available at: http://www.isi.edu/nsnam/ns/.
    20. 20)
      • Hole, D., Tobagi, F.: `Capacity of an IEEE 802.11b wireless LAN supporting VoIP', Proc. IEEE Int. Conf. on Communications (ICC), June 2004, Paris, France, 1, p. 196–201.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2011.0525
Loading

Related content

content/journals/10.1049/iet-com.2011.0525
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address