Study of congestion control algorithm based on neural network supervised control
ZHANG Shao-bo, LI Gang, KANG Jun
(School of Information Engineering, Chang’an University, Xi’an 710064, China)
Abstract:This paper proposed a novel AQM algorithm based on neural network control.Firstly,studied the invertibility of TCP/AQM system,then
designed the algorithm using one form of neural network supervised control,which was composed of a three-layer feedforward NNC and a conventional FC.The NNC acted as a feedforward controller and the FC generates training signal of NNC. Through learning, the NNC can be identified as an inverse model of the plant and simulation results show the proposed algorithm can outperform the PI algorithm. ......