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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Cognitive algorithm using fuzzy reasoning for software-defined optical network

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Author(s):
Tronco, Tania Regina ; Garrich, Miquel ; Cesar, Amilcar Careli ; Rocha, Monica de Lacerda
Total Authors: 4
Document type: Journal article
Source: PHOTONIC NETWORK COMMUNICATIONS; v. 32, n. 2, p. 281-292, OCT 2016.
Web of Science Citations: 5
Abstract

We propose a cognitive algorithm based on Fuzzy C-Means (FCM) technique for the learning and decision-making functionalities of software-defined optical networks (SDONs). SDON is a new optical network paradigm where the control plane is decoupled from the data plane, thus providing a degree of software programmability to the network. Our proposal is to add the FCM algorithm to the SDON control plane in order to achieve a better network performance, when compared with a non-cognitive control plane. In this context, we illustrate the use of the FCM algorithm for determining, in real time and autonomously, the modulation format of high-speed flexible rate transponders in accordance with the quality of transmission of optical channels. The performance of this FCM algorithm is evaluated via computational simulations for a long-haul network and compared to the case-based reasoning (CBR) algorithm, which is commonly used in optical cognitive networks. We demonstrate that FCM outperforms CBR in both fastness and error avoidance, achieving 100 % of successful classifications, being two orders of magnitude faster. Additionally, we propose a definition of cognitive optical networking and an architecture for the SDON control plane including the FCM engine. (AU)

FAPESP's process: 13/05177-6 - Optical Superchannel
Grantee:Mônica de Lacerda Rocha
Support type: Regular Research Grants