Optimizing IEEE 802.11 DCF using Bayesian estimators of the network state

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn V, Issue , 2005, Pages

  Toledo, Alberto Lopez ^a   Vercauteren, Tom ^b   Wang, Xiaodong ^a  

^a Department of Earth and Environmental Sciences   (United States)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION;

BAYESIAN ESTIMATORS; COMPETING TERMINALS; DISTRIBUTED COORDINATION FUNCTION; SATURATION MODE;

NETWORK PROTOCOLS;

EID: 33646814761     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416458     Document Type: Conference Paper

References (6)

1. T Vercauteren, A Lopez Toledo, and X Wang, "Online Bayesian estimation of hidden Markov models with unknown transition matrix and applications to IEEE 802.11 networks," in P roc. IEEE Int'l Conf. Acous., Speech, Sig. Proc. (ICASSP'05), Philadelphia, PA, Apr. 2005.
2. Giuseppe Bianchi and Ilenia Tinnirello, "Kalman fitler estimation of the number of competing termnals in an IEEE 802.11 network," in Proc. Infocom 2003, San Francisco, CA, Mar. 2003, vol. 2, pp. 844-852.
3. C Wang and W Tang, "A probability-based algorithm to adjust contention window in IEEE 802.11 DCF," in ICCCAS: Communications, Circuits and Systems, 2004., 2004, vol. 1, pp. 418-422.
4. H Ma, X Li, H Li, P Zhang, S Luo, and C Yuan, "Dynamic optimization of IEEE 802.11 CSMA/CA based on the number of competing stations," in Proc. IEEE Int'l Conf. Comm., (ICC'04), June 2004.
5. Giuseppe Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function," IEEE J. Select. Areas Commun., vol. 18, no. 3, pp. 535-547, Mar. 2000.
6. A Doucet, N de Freitas, and N Gordon, Eds., Sequential Monte Carlo Methods in Practice, Springer-Verlag, 2001.