Active queue management based on particle swarm optimization PID algorithm

This paper proposes an algorithm for improving adaptation and coefficients adjustment of active queue management by particle swarm optimization PID algorithm. In this algorithm, swarm particle optimization is combined with PID algorithm, which can settle the coefficients adjustment online in PID and can adapt the variation of network traffic, so this algorithm can effectively fulfill active queue management. The simulation results successfully demonstrate the effectiveness of the proposed algorithm and their advantages over other existing algorithm.