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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
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