doi: 10.7763/IJMO.2011.V1.9
Bacterial Foraging Optimization Robust-RED for AQM/TCP Network
Amir Esmaeili Abharian
1
,
Ehsan Shakeri
2,*
- 1 Islamic Azad University, Garmsar branch, Garmsar, Iran.
- 2 Shiraz University, Shiraz, Iran.
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 H2 / H∞ 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 H2 / H∞ algorithm to obtain the required response. We illustrate our results with NS2 simulations.
Keywords
- Active queue management (AQM)
- random early detection (RED)
- Bacterial foraging optimization (BFO)
How to Cite
Amir Esmaeili Abharian and Ehsan Shakeri, "Bacterial Foraging Optimization Robust-RED for AQM/TCP Network," International Journal of Modeling and Optimization, vol. 1, no. 1, pp. 49-55, 2011. https://doi.org/ 10.7763/IJMO.2011.V1.9
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).