Adaptive finite-time congestion control for TCP networks

To solve the problem of congestion control in transmission control protocol(TCP)networks in presence of system uncertainty and user data protocol(UDP) disturbances, an adaptive finite-time congestion control algorithm is proposed using the backstepping method. In order to facilitate the implementation of the controller, the system parameters of TCP networks and unresponsive UDP flows were integrated into a lumped uncertainty. Then a simple adaptive Law was proposed to estimate the lumped uncertainty, by which the bound of the lumped uncertainty was not required to be known in advance, and by which the computation burden was reduced and the requirement of router processing high speed packet was guaranteed. Using the backstepping method and the proposed adaptive law, an adaptive finite-time congestion control algorithm was proposed and the finite-time stability theory was used to guarantee that the instantaneous queue length can be regulated at a desired queue length in a finite time. The proposed algorithm was validated by the network simulator-2 and the simulation results demonstrate the superior finite-time stability and the robustness of the proposed algorithm in various network scenarios. © 2018, Harbin University of Science and Technology Publication. All right reserved.