Abstract
Performance on throughput of IEEE 802.11 distributed coordination function (DCF) is severely affected by the number of contending stations. Thus, many methods for estimating the number of contending stations have been proposed in order to improve the performance of IEEE 802.11 by adjusting the medium access control (MAC) parameters according to the number of contending stations. However, since the methods estimate the number of contending stations only under the strict assumptions for specific conditions, they cannot correctly estimate the number of contending stations in the general environments. Therefore, in order to estimate the number of contending stations in the general environments, a new estimation algorithm is required. In this paper, we propose a measurement based method for estimating the number of contending stations. From simulation results, we confirm that the proposed method can more accurately estimate the number of contending stations than the existing methods under ideal and erroneous channel conditions.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2010-0016757).
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References
IEEE: Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. IEEE Standard 802.11 (2007)
Bianchi, G.: IEEE 802.11 – Saturation Throughput Analysis. IEEE Communications Letters 2(12), 318–320 (1998)
Bianchi, G.: Performance Analysis of IEEE 802.11 Distributed Coordination Function. IEEE Journal on Selected Areas in Communications 18(3), 535–547 (2000)
Chatzimisios, P., Boucouvalas, A.C., Vitas, V.: Performance Analysis of IEEE 802.11 DCF in Presence of Transmission Errors. In: IEEE International Conference on Communications (ICC), vol. 7, pp. 3854–3858 (2004)
Wang, C., Li, B., Li, L.: A New Collision Resolution Mechanism to Enhance the Performance of IEEE 802.11 DCF. IEEE Transactions on Vehicular Technology 53(4), 1235–1246 (2004)
Tay, Y.C., Chue, K.C.: A Capacity Analysis for the IEEE 802.11 MAC Protocol. ACM/Baltzer Wireless Networks 7(2), 159–171 (2001)
Bianchi, G., Tinnirello, I.: Kalman Filter Estimation of the Number of Competing Terminals in an IEEE 802.11 Network. In: IEEE International Conference on Computer Communications 2, pp. 844–852 (2003)
Kim, J.S., Serpedin, E., Shin, D.R.: Improved Particle Filtering-Based Estimation of the Number of Competing Stations in IEEE 802.11 Networks. IEEE Signal Processing Letters 15, 87–90 (2008)
Vercauteren, T., Toledo, A.L., Wang, X.: Batch and Sequential Bayesian Estimators of the Number of Active Terminals in an IEEE 802.11 Network. IEEE Transactions on Signal Processing 55(2), 437–450 (2007)
Malone, D., Clifford, P., Leith, D.J.: MAC Layer Channel Quality Measurement in 802.11. IEEE Communications Letters 11(2), 143–145 (2007)
Hammersley, J.M., Handscomb, D.C.: Monte–Carlo Methods. Methuen & Co. LTD., New York (1964)
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Kim, J.S., Choi, BG., Chung, M.Y. (2011). A Measurement Based Method for Estimating the Number of Contending Stations in IEEE 802.11 WLAN under Erroneous Channel Condition. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21934-4_3
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DOI: https://doi.org/10.1007/978-3-642-21934-4_3
Publisher Name: Springer, Berlin, Heidelberg
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