|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 122 - Issue 17 |
| Published: July 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
@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.