Comparison between Mamdani and Sugeno fuzzy inference systems for the mitigation of environmental temperature variations in OCDMA-PONs

Author

dos Reis Junior, Jose Valdemir ; Raddo, Thiago R. ; Sanches, Anderson L. ; Borges, Ben-Hur V.

Author_Institution

Teresina Tech. Coll., Fed. Univ. of Piaui, Teresina, Brazil

fYear

2015

Firstpage

1

Lastpage

4

Abstract

This paper presents a comparative study between the Mamdani and Sugeno fuzzy inference systems (FIS) for intelligent traffic transmission over optical code-division multiple-access (OCDMA) network architectures. This FIS is capable of mitigating environmental temperature variation effects in the transmission link which are known to play an important role in the overall performance of the network. The paper outlines the basic difference between both Mamdani and Sugeno type FIS for this approach. The results highlight the performance of the two systems and the computational advantages of using Sugeno- type over Mamdani-type.

Keywords

code division multiple access; fuzzy reasoning; passive optical networks; telecommunication computing; telecommunication traffic; Mamdani FIS; OCDMA-PON environmental temperature variation mitigation; Sugeno fuzzy inference system; intelligent traffic transmission; optical code division multiple access network architecture; passive optical network; transmission link; Fuzzy logic; Fuzzy systems; Optical fibers; Optical transmitters; Passive optical networks; Temperature sensors; BER; Mamdani; OCDMA; Sugeno; environmental temperature; fuzzy systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Transparent Optical Networks (ICTON), 2015 17th International Conference on

Conference_Location

Budapest

Type

conf

DOI

10.1109/ICTON.2015.7193509

Filename

7193509