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10.5120/21795-5172 |
A I A Jabbar and Ahmed I Al-ghannam. Article: Applying Fuzzy Logic Principles to Improve the Performance of the Random Early Detection Algorithm. International Journal of Computer Applications 122(17):27-31, July 2015. Full text available. BibTeX
@article{key:article, author = {A. I. A. Jabbar and Ahmed I. Al-ghannam}, title = {Article: 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}, month = {July}, note = {Full text available} }
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.
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