PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

IEEE 802.11 LAN capacity : incentives and incentive learning

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
For an ad hoc IEEE 802.11 WLAN we investigate how stations' noncooperative behavior in the form of a backoff attack (configuring small minimum and/or maximum CSMA/CA contention windows at some stations in pursuit of a large goodput share) affects a proposed realistic network capacity measure. We argue that such a measure should reflect both the total goodput and fairness, to factor in contention overhead and favor sustainable, i.e., fair, scenarios where each station pursues a large goodput share. Therefore, we consider a capacity-fairness index (CFI), the product of total goodput and the Jain index of the stations' goodput shares. If the backoff mechanism is mandatory, the CSMA/CA game that arises has a unique Nash equilibrium. In the opposite case there is no compelling outcome; we envisage that a station then calculates backoff attack incentives to predict imminent play. We link CFI to the network size, "power awareness", a stations perception of the other stations' susceptibility to incentives, and the way of learning how the stations perceive the other stations' susceptibility to incentives. We show that noncooperative behavior reduces CFI more than does contention overhead, yet if the stations are few and "power aware" enough then its impact may be lessened.
Słowa kluczowe
Czasopismo
Rocznik
Strony
111--118
Opis fizyczny
Bibliogr. 14 poz., wykr.
Twórcy
autor
Bibliografia
  • [1] Altman E., El Azouzi R., Jimenez T., Slotted Aloha as a game with partial information. Computer Networks, 45(6), 2004, pp. 701-713.
  • [2] Bellardo J., Savage S., 802.11 denial-of-service attacks: Real vulnerabilities and practical solutions, Proc. USENIX Security Symp., Washington, DC, 2003.
  • [3] Berlemann L., Hiertz G.R., Walke B.H., Mangold S., Radio resource sharing games: Enabling QoS support In unlicensed bands, IEEE Network, 19(4), 2005, pp. 59-65.
  • [4] Bianchi G., Performance analysis of the IEEE 802.11 Distributed Coordination Function, IEEE J. Selected Areas in Comm., 18(3), 2000, pp. 535-547.
  • [5] Cagalj M., Ganeriwal S., Aad I., Hubaux J.-P., On selfish behavior in CSMA/CA ad hoc networks, Proc. IEEE INFOCOM 2005, Miami, FL, 2005, pp. 2513-2524.
  • [6] Chang J., Stochastic processes, www.stat.yale.edu.
  • [7] Fudenberg D., Tirole J., Game theory, Cambridge, MA, MIT Press, 1991.
  • [8] IEEE standard for information technology: LAN/MAN -specific requirements, ISO/IEC 8802-11, 1999.
  • [9] Jain R., Fairness: How to measure quantitatively? ATM Forum/94-0881, 1994.
  • [10] Konorski J., Solvability of a Markovian model of an IEEE 802.11 LAN under a backoff attack, Proc. IEEE MASCOTS 2005, Atlanta, GA, 2005, pp. 491-498.
  • [11] MacKenzie A.B., Wicker S.B., Game theory and the design of self-configuring, adaptive wireless networks, IEEE Comm. Magazine, 39(11), 2001, pp. 126-131.
  • [12] Queseth O., Cooperative and selfish behavior in unlicensed spectrum using the CSMA/CA protocol, Proc. Nordic Radio Symposium, Oulu, Finland, 2004.
  • [13] Tan G., Guttag J., The 802.11 MAC protocol leads to inefficient equilibria, Proc. IEEE INFOCOM 2005, Miami, FL, 2005, pp. 1-11.
  • [14] Yao X., Evolutionary stability in the n-person iterated Prisoners’ Dilemma, BioSystems, 37(3), 1996, pp. 189-197.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0033-0044
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.