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Wireless Ad Hoc and Sensor Networks

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Congestion Control in ATM <strong>Networks</strong> <strong>and</strong> the Internet 141Kelly, F.P., Key, P.B., <strong>and</strong> Zachary, S., Distributed admission control, IEEE Journal onSelected Areas in Communications, Vol. 18, No. 12, 2617–2628, December 2000.Kuzmanovic, A. <strong>and</strong> Knightly, E., A performance vs. trust perspective in the designof end-point congestion control protocols, Proceedings of the 12th IEEE Conferenceon Network Protocols, 2004, pp. 96–107.Lakshman, T.V., Mishra, P.P., <strong>and</strong> Ramakrishan, K.K., Transporting compressedvideo over ATM networks with explicit-rate feedback control, IEEE/ACMTransactions on Networking, Vol. 7, No. 5, October 1999.Liew, S. <strong>and</strong> Yin, D.C., A control-theoretic approach to adopting VBR compressedvideo for transport over a CBR communications channel, IEEE/ACM Transactionson Networking, Vol. 6, No. 1, 42–55, February 1998.Liu, Y.-C. <strong>and</strong> Douligeris, C., Rate regulation with feedback controller in ATMnetworks—a neural network approach, IEEE/ACM Transactions on Networking,Vol. 15, No. 2, 200–208, February 1997.Low, S.H., Paganini, F., <strong>and</strong> Doyle, J.C., Internet Congestion Control, IEEE ControlSystems Magazine , Vol. 22, No.1, February 2002, pp. 28–43.Mascolo, S., Smith’s principle for congestion control in high speed ATM networks,Proceedings of the IEEE Conference on Decision <strong>and</strong> Control, 1997, pp. 4595–4600.Mortier, R., Pratt, I., Clark, C., <strong>and</strong> Crosby, S., Implicit admission control, IEEE Journalon Selected Areas in Communications, Vol. 18, No. 12, 2629–2639, December 2000.MPEG-4 trace files, available: http://www-tkn.ee.tu-berlin.de/~fitzek/TRACE/ltvt.html.NS-2 manual, available at http://www.isi.edu/nsnam/ns/ns-documentation.html.Peng, M., Jagannathan, S., <strong>and</strong> Subramanya, S., End to end congestion control ofmultimedia high speed Internet, Journal of High Speed <strong>Networks</strong>, accepted forpublication, 2006.Pitsillides, A., Ioannou, P., <strong>and</strong> Rossides, L., Congestion control for differentiatedservices using nonlinear control theory, Proceedings of the IEEE INFOCOM,2001, pp. 726–733.Qiu, B., A predictive fuzzy logic congestion avoidance scheme, Proceedings of theIEEE Conference on Decision <strong>and</strong> Control, 1997, pp. 967–971.Sastry, N.R. <strong>and</strong> Lam, S.S., CYRF: a theory of window-based unicast congestioncontrol, IEEE Transactions on Networking, Vol. 13, No. 2, 330–342, April 2005.Widmer, J., Denda, R., <strong>and</strong> Mauve, M., A Survey on TCP-Friendly CongestionControl, IEEE Network, May/June 2001, pp. 28–37.ProblemsSection 3.2Problem 3.2.1: Network modeling. Search the literature <strong>and</strong> identifynetwork modeling techniques. Compare queuing theory-basedmodeling scheme with that of the state-space-based networkmodeling.

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