The week's pick
Reseach Article
Applying Fuzzy Logic Principles to Improve the Performance of the Random Early Detection Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 122 - Number 17 |
| Year of Publication: 2015 |
| Authors: A. I. A. Jabbar, Ahmed I. Al-ghannam |
10.5120/21795-5172
|
A. I. A. Jabbar, Ahmed I. Al-ghannam . Applying Fuzzy Logic Principles to Improve the Performance of the Random Early Detection Algorithm. International Journal of Computer Applications. 122, 17 ( July 2015), 27-31. DOI=10.5120/21795-5172
Abstract
This paper proposes a Random early detection algorithm based on fuzzy logic Principles. The main target of using the fuzzy logic is to reduce the number of lost packets which are sent by a sender using RED algorithm in queue-buffer router of the network topology. The function of fuzzy logic is to dynamically tune the maximum drop probability (maxp) parameter of the RED algorithm. To realize this target, a two-input-single-output fuzzy logic is implemented. The inputs of the fuzzy logic are average queue size, the difference in average queue size. To estimate the performance of the FLRED: simple network topology with FTP is suggested. In this research, the opnet modeler 14. 5 has been used. The simulation results show that the FLRED algorithm is better than traditional RED algorithm as far as the number of lost packets is concerned.
References
- H. ASHTIANI, H. Moradi and M. NIKPOUR . " Active Queue Management in TCP Networks Based on Fuzzy-Pid Controller" , Journal of Applied Computer Science & Mathematics,2012.
- Minjuan Cheng and Xiaoming Ma, " Performance Evaluation of Queue Management Methods for Congestion Control" , Journal of Information & Computational Science , 2012.
- Arash Dana and Ahmad Malekloo, "Performance comparison between Active and Passive Queue Management" IJCSI International Journal of Computer Science Issues,2010.
- Jingjun Zhanga, Wenlong Xub and Liguo Wangb, " An Improved Adaptive Active Queue Management Algorithm Based on Nonlinear Smoothing", Sciverse science direct, 2011.
- S. Floyd and V. Jacson, Random Early Detection gateways for congestion avoidance, IEEE/ACM Trans. on Networking, 1993.
- S. N. Sivanandam, S. Sumathi and S. N. Deepa , "Introduction to Fuzzy Logic using MATLAB" , Springer-Verlag Berlin Heidelberg 2007.
- OPNET Technologies, Inc. http://www. opnet. com
- T. Álvarez, V. Álvarez and L. Nicolás, "Understanding congestion control algorithm in TCP using OPNET", 2nd International Conference on Education and New Learning Technologies, 2010.
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