Performance Evaluation of Fuzzy based Congestion Control for TCP/IP Networks
It by and large acknowledged that the trouble of system congestion control stays a basic issue and a high need, particularly given the developing size, request, and speed (transfer speed) of the inexorably coordinated administrations systems. In spite of the examination endeavors spreading over several decades and accordingly the sizable measure of different plans proposed, there are no generally worthy control arrangements. Current arrangements in existing systems are progressively getting insufficient, and it's commonly acknowledged that these arrangements can only with significant effort extent even with different proposed "fixes". In this paper, a Fuzzy based congestion control is talked about to manage the congestion control issue. The exhibition of the controlled framework is assessed by means of reenactment.
L. A. Zadeh, “Fuzzy logic”, IEEE Computer, pages 83.93, April 1988.
Pitsillides, A. Sekercioglu, G. Ramamurthy, "Effective Control of Traffic Flow in ATM Networks Using Fuzzy Explicit Rate Marking (FERM)", IEEE Journal on Selected Areas in Communications (JSAC), Volume 15, Issue 2, February 1997, pp. 209-225
A. Pitsillides, A.Sekercioglu, “Fuzzy Logic based Congestion Control”, IEEE 2000.
A. Pitsillides, A. Sekercioglu, “Congestion Control”, Computational Intelligence in Telecommunication Networks, ISBN: 0-8493-1075-X, September 2000, pp-109-158C. Chang and R. Cheng, “ Traffic control in an ATM network using fuzzy set theory, IEEE INFOCOM'94 Conference” , Toronto, Canada, June 1994.
R-G. Cheng and C-J. Chang, “ Design of a fuzzy traffic controller for ATM networks” , IEEE/ACM Transactions on Networking, pp. 460-469, June 1996.
Zhong Li, “ Fuzzy Chaotic Systems”, Springer.
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