Bacterial Foraging Optimization Robust-RED for AQM/TCP Network

Abstract

The congestion control problem of the intermediate nodes in the Internet has received extensively attention in control community. In this paper, a novel intelligent robust early detection controller based on a bacterial foraging optimization algorithm is presented to solve the problem of robust active queue management. However in This paper, design approach of robust BFO-RED active queue management with rejection disturbance in TCP network is proposed using bacterial foraging optimization based robust algorithm. To design disturbance traffic rejection tuning, disturbance rejection conditions based on ∞ H H / 2 are illustrated and the performance of response based on the bacterial foraging is computed for the designed RED as Integral of time weighted squared error (ITSE). Hence, parameters of classical RED are selected by bacterial foraging based robust ∞ H H / 2 algorithm to obtain the required response. We illustrate our results with NS2 simulations.