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Reseach Article

A Review: Fuzzy Logic in Congestion Control of Computer Network

Published on February 2013 by Shilpa Nitin Ingoley, Madhu Nashipudi
International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 12
February 2013
Authors: Shilpa Nitin Ingoley, Madhu Nashipudi
22c03670-9ce4-41a5-a68e-c5f63c5bf126

Shilpa Nitin Ingoley, Madhu Nashipudi . A Review: Fuzzy Logic in Congestion Control of Computer Network. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 12 (February 2013), 1-6.

@article{
author = { Shilpa Nitin Ingoley, Madhu Nashipudi },
title = { A Review: Fuzzy Logic in Congestion Control of Computer Network },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 12 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 1-6 },
numpages = 6,
url = { /proceedings/icrtitcs2012/number12/10416-1443/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A Shilpa Nitin Ingoley
%A Madhu Nashipudi
%T A Review: Fuzzy Logic in Congestion Control of Computer Network
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 12
%P 1-6
%D 2013
%I International Journal of Computer Applications
Abstract

Congestion being a non-linear and dynamic problem in the Internet Fuzzy Controller can be use to deal with this problem. Congestion can be controlled at core and bottleneck router differently. To get better quality of service over the best effort network, multiple queue management algorithms can be used. Fuzzy logic helps to increase throughput, reduction in packet drop and delays.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Congestion Control Fuzzy Logic(fl) Tcp Computational Intelligence (ci) Queue Management