A novel active queue management scheme based on self-similar traffic rate estimation

In this paper, we firstly propose self-similar traffic rate estimating algorithm PLMA for active queue management scheme to regulate packet marking probability. This algorithm improves the availability of the rate estimation algorithm under the self-similar traffic condition. Then, we design a robust AQM mechanism based on rate estimated by the PLMA, which enable router to be more responsive to various traffic characteristics. The simulation results show that performance of proposed AQM algorithm is better than the other algorithms.