Title :
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
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;
Conference_Titel :
Transparent Optical Networks (ICTON), 2015 17th International Conference on
Conference_Location :
Budapest
DOI :
10.1109/ICTON.2015.7193509
