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Journal of Computer Science and Technology

, Volume 20, Issue 2, pp 282–288 | Cite as

RSAD: A Robust Distributed Contention-Based Adaptive Mechanism for IEEE 802.11 Wireless LANs

  • Yong PengEmail author
  • Shi-Duan Cheng
  • Jun-Liang Chen
Article

Abstract

Previous researches have shown that Distributed Coordination Function (DCF) access mode of IEEE 802.11 has lower performance in heavy contention environment. Based on the in-depth analysis of IEEE 802.11 DCF, NSAD (New Self-adapt DCF-based protocol) has been proposed to improve system saturation throughput in heavy contention condition. The initial contention window tuning algorithm of NSAD is proved effective in error-free environment. However, problems concerning the exchanging of initial contention window occur in error-prone environment. Based on the analysis of NSAD’s performance in error-prone environment, RSAD is proposed to further enhance the performance. Simulation in a more real shadowing error-prone environment is done to compare the performance of NSAD and RSAD and results have shown that RSAD can achieve further performance improvement as expected in the error-prone environment than NSAD (i.e., better goodput and fairness index).

Keywords

distributed coordination function (DCF) wireless LAN (WLAN) performance enhancement robust 

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References

  1. [1]
    IEEE 802.11. Wireless LAN medium access control (MAC) and physical (PHY) layer specifications. August 1999.Google Scholar
  2. [2]
    Peng Y, Wu H, Cheng S, Long K. A new self-adapt DCF algorithm. Global Telecommunications Conference, GLOBECOM’02, IEEE, Volume 1, Nov. 17–21, 2002, pp.87–91.Google Scholar
  3. [3]
    Peng Y, Cheng S. Design of a robust self-adapt DCF-based protocol. Global Telecommunications Conference, GLOBECOM’03, IEEE, Volume 1, Dec. 1–5, 2003, pp.200–204.Google Scholar
  4. [4]
    Banchs A, Pérez X. Providing throughput guarantees in IEEE 802.11 wireless LAN. IEEE Wireless Communications and Networking Conference, Volume 1, 17–21 March 2002, pp.130–138.Google Scholar
  5. [5]
    Peng Y, Wu H, Long K, Cheng S. Simulation analysis of TCP performance on IEEE 802.11 wireless LAN. In Proc. 2001 — Beijing. 2001 Int. Conf. Info-tech and Info-net, Volume 2, Oct. 29–Nov. 1 2001, pp.520–525.Google Scholar
  6. [6]
    Cali F, Conti M, Gregori E. IEEE 802.11 protocol: Design and performance evaluation of an adaptive backoff mechanism. IEEE JSAC, 2000, 18(9): 1774–1786.Google Scholar
  7. [7]
    Bianchi G. Performance analysis of the IEEE 802.11 distributed coordination function. IEEE JSAC, 2000, 18(3): 535–547.Google Scholar
  8. [8]
    The Network Simulator. http://www.isi.edu/nsnam/ns/.
  9. [9]
    Fall K, Floyd S. Simulation-based comparisons of Tahoe, Reno, and SACK TCP. ACM Computer Communication Review, 1996, 26(3): 5–21.Google Scholar
  10. [10]
    Jain R. The Art of Computer System Performance Analysis. John Wiley & Sons, 1991.Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  1. 1.National Laboratory of Switching Technology and Telecommunication Networks Beijing University of Posts and TelecommunicationsBeijingP.R. China

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