International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 122 - Issue 17 |
Published: July 2015 |
Authors: A. I. A. Jabbar, Ahmed I. Al-Ghannam |
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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
@article{ 10.5120/21795-5172, author = { A. I. A. Jabbar,Ahmed I. Al-Ghannam }, title = { Applying Fuzzy Logic Principles to Improve the Performance of the Random Early Detection Algorithm }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 122 }, number = { 17 }, pages = { 27-31 }, doi = { 10.5120/21795-5172 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A A. I. A. Jabbar %A Ahmed I. Al-Ghannam %T Applying Fuzzy Logic Principles to Improve the Performance of the Random Early Detection Algorithm%T %J International Journal of Computer Applications %V 122 %N 17 %P 27-31 %R 10.5120/21795-5172 %I Foundation of Computer Science (FCS), NY, USA
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.