Research on Network Node Closed Loop Control Mechanism Based on Probability Drop Scheme

In order to solve the increasingly serious network congestion, a node closed loop PID control mechanism is proposed, which is based on BP neural network (abbr. BPNN). This mechanism works with active queue management (abbr. AQM) scheme with probability drop strategy, which forms a closed loop by controlling node buffer average queue size. The method tries to avoid the disadvantages of the traditional solutions, which control input and output traffic flow. This paper presents the closed loop configuration figure, and gives the algorithm realizations of PID controller model based on BP neural network and probability drop strategy. Simulation that runs on the OPNET software is carried out on the node model. The simulation results show that the proposed mechanism works well in terms of convergence speed of PID parameters, stability and anti-jamming of the average queue size and the system robustness