State predictive LQI congestion control for TCP/AQM networks considering effective equilibrium points

نویسنده

  • Takehito Azuma
چکیده

The purpose of this paper is to design state predictive LQI congestion controllers by considering effective equilibrium points of nonlinear models of TCP/AQM networks and to illustrate the effectiveness of the designed congestion controllers via the ns-2(Network Simulator ver.2) simulator. First nonlinear models of TCP/AQM networks are linearized at equilibrium points and a method to configure the equilibrium points of the models of TCP/AQM networks is proposed by focusing on the effective probabilities of packet marks. Second congestion controllers are designed by using state predictive control and LQI control. Finally the designed controllers are implemented in the router of TCP/AQM networks and simulation results are shown to illustrate the effectiveness of the designed congestion controllers by using SIMULINK and the ns-2 simulator.

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تاریخ انتشار 2014