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DPS: An Architecture for VBR Scheduling in IEEE 802.11e HCCA Networks with Multiple Access Points

  • Dimitrios J. Vergados
  • Dimitrios D. Vergados
  • Christos Douligeris
Article

Abstract

Recent advances in 802.11 Wireless Local Area Networks (WLANs) have been focused on introducing Quality of Service (QoS) in their performance through the adoption of 802.11e. The Hybrid Controlled Channel Access (HCCA) has been proposed as the mechanism to provide the means for guaranteed QoS in networks controlled by a single Access Point (AP). Moreover, scheduling algorithms have been developed allowing efficient scheduling of Variable Bit Rate (VBR) traffic flows. However, little research may be found regarding the problem of applying HCCA on networks with multiple APs. In this paper, various VBR scheduling mechanisms and methods for multi—AP HCCA are presented and evaluated. In addition, this paper introduces the Dynamic Parallel Scheduler (DPS), a novel HCCA scheduling algorithm for VBR traffic among multiple APs that takes advantage of the rate variability and spatial reuse. DPS’s performance evaluation shows that the proposed scheme achieves improved performance in terms of delay, throughput and packet loss.

Keywords

HCCA SPC 802.11e scheduling multi-AP coordination 

Notes

Acknowledgement

This paper is part of the 03ED485 - “Design and Development Models for QoS Provisioning in Wireless Broadband Networks” research project, implemented within the framework of the “Reinforcement Programme of Human Research Manpower” (PENED) and co-financed by National and Community Funds (20% from the Greek Ministry of Development-General Secretariat of Research and Technology and 80% from E.U.-European Social Fund).

References

  1. 1.
    Ni Q, Romdhani L, Turletti T (2004) A survey of QoS enhancements for IEEE 802.11 wireless LAN. Wirel Commun Mob Comput 4(5):547–566 doi: 10.1002/wcm.196 CrossRefGoogle Scholar
  2. 2.
    Grilo A, Macedo M Nunes M (2003) A scheduling algorithm for QoS support in IEEE 802.11 networks. IEEE Wireless Commun 10(3):36–43 doi: 10.1109/MWC.2003.1209594 CrossRefGoogle Scholar
  3. 3.
    Ansel P, Ni Q, Turletti T (2006) FHCF: A simple and efficient scheduling scheme for IEEE 802.11e wireless LAN. Mobile Netw Appl 11(3):391–403 doi: 10.1007/s11036-006-5191-z CrossRefGoogle Scholar
  4. 4.
    Skyrianoglou D, Passas N, Salkintzis AK (2006) ARROW: An efficient traffic scheduling algorithm for IEEE 802.11e HCCA. IEEE Transactions on Wireless Communications 5(12):3558–3567 doi: 10.1109/TWC.2006.256978 CrossRefGoogle Scholar
  5. 5.
    Fallah YP, Alnuweiri H (2007) Hybrid polling and contention access scheduling in IEEE 802.11e WLANs. J Parallel Distrib Comput 67(2):242–256 doi: 10.1016/j.jpdc.2006.07.003 zbMATHCrossRefGoogle Scholar
  6. 6.
    Yang L (2004) P-HCCA: A new scheme for real-time traffic with QoS in IEEE 802.11e based networks. in APAN Network Research WorkshopGoogle Scholar
  7. 7.
    Heo J, Kim N, Kwon WH (2007) An efficient scheduling scheme based on fuzzy prediction for IEEE 802.11e WLAN. In International Conference on Control, Automation and Systems, ICCAS ‘07. Seoul, KoreaGoogle Scholar
  8. 8.
    Noh BM, Suzuki T, Tasaka S (2007) Packet scheduling for user-level QoS guarantee in audio-video transmission by IEEE 802.11e HCCA. In IEEE TENCON, Taipei, TaiwanGoogle Scholar
  9. 9.
    Fan YL, Huang CY, Hong YR (2005) Timer based scheduling control algorithm in WLAN for real-time services. In IEEE International Symposium on Circuits and Systems, ISCAS, Kobe, JapanGoogle Scholar
  10. 10.
    Son J, Lee I-G, Yoo H-J, Park S-C (2005) An effective polling scheme for IEEE 802.11e. IEICE Trans Commun 88-B(12):4690–4693 E (Norwalk, Conn.)CrossRefGoogle Scholar
  11. 11.
    Lim KM, Lee KY, Kim KS, Joo S.-S (2007) Traffic aware HCCA scheduling for the IEEE 802.11e wireless LAN. In IEEE International Conference on Multimedia and Expo, ICME, Beijing, ChinaGoogle Scholar
  12. 12.
    Garg P, Doshi R, Greene R, Baker MA, Malek MA, Cheng X (2003) Using IEEE 802.11e MAC for QoS over wireless. In IEEE International Performance, Computing, and Communications Conference. Phoenix, Arizona, USAGoogle Scholar
  13. 13.
    Vergados DD, Vergados DJ (2004) Synchronization of multiple access points in the IEEE 802.11 point coordination function. In IEEE 60th Vehicular Technology Conference, VTC2004-Fall. LA, USA 2:1073–1077Google Scholar
  14. 14.
    Bejerano Y, Bhatia RS (2006) MiFi: A framework for fairness and QoS assurance for current IEEE 802.11 networks with multiple access points. IEEE/ACM Trans Netw 14(4):849–862CrossRefGoogle Scholar
  15. 15.
    Mangold S, Sunghyun C, Hiertz GR, Klein OA, Walke BA (2003) Analysis of IEEE 802.11e for QoS support in wireless LANs. IEEE Wireless Communications 10(6):40–50 doi: 10.1109/MWC.2003.1265851 CrossRefGoogle Scholar
  16. 16.
    Bianchi G, Tinnirello I, Scalia L (2005) Understanding 802.11e contention-based prioritization mechanisms and their coexistence with legacy 802.11 stations. IEEE Netw 19(4):28–34 doi: 10.1109/MNET.2005.1470680 CrossRefGoogle Scholar
  17. 17.
    Chen D, Gu D, Zbang J (2004) Supporting real-time traffic with QoS in IEEE 802.11e based home networks. In First IEEE Consumer Communications and Networking Conference, 2004. Las Vegas, Nevada, USAGoogle Scholar
  18. 18.
    del Prado Pavon J, Shankar SN (2004) Impact of frame size, number of stations and mobility on the throughput performance of IEEE 802.11e. In IEEE Wireless Communications and Networking Conference, WCNC, Atlanta, Georgia, USAGoogle Scholar
  19. 19.
    Grilo A, Nunes M (2002) Performance evaluation of IEEE 802.11e. In The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, Beijing, ChinaGoogle Scholar
  20. 20.
    Fattah H, Leung C (2002) An overview of scheduling algorithms in wireless multimedia networks. IEEE Wireless Communications 9(5):76–83 doi: 10.1109/MWC.2002.1043857 CrossRefGoogle Scholar
  21. 21.
    Cowling J, Selvakennedy S (2004) A detailed investigation of the IEEE 802.11e HCF reference scheduler for VBR traffic. In IEEE International Conference on Computer Communications and Networks, ICCCN, Chicago, IL USAGoogle Scholar
  22. 22.
    Yang L (2005) Enhanced HCCA for real-time traffic with QoS in IEEE 802.11e based networks. In IEE International Workshop on Intelligent Environments (IE ‘05), Colchester, UKGoogle Scholar
  23. 23.
    Khedkar P, Keshav S (1992) Fuzzy prediction of timeseries. in Proc. IEEE Conference on Fuzzy Systems-92Google Scholar
  24. 24.
    Video traces for network performance evaluation. http://trace.eas.asu.edu/tracemain.html. Accessed 10 June 2008.
  25. 25.
    Jain R, Chiu D, Haw W (1984) A quantitative measure of fairness and discrimination for resource allocation in shared systems, DEC Technical Report TR-301, Digital Equipment Corporation.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Dimitrios J. Vergados
    • 1
  • Dimitrios D. Vergados
    • 2
    • 3
  • Christos Douligeris
    • 2
  1. 1.School of Electrical and Computer EngineeringNational Technical University of AthensAthensGreece
  2. 2.Department of InformaticsUniversity of PiraeusPiraeusGreece
  3. 3.Department of Information and Communication Systems EngineeringUniversity of the AegeanKarlovassi, SamosGreece

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