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Cognitive algorithm using fuzzy reasoning for software-defined optical network

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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.

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Authors and Affiliations

  1. Vice-Presidency of Research and Development, CPqD Foundation, Campinas, SP, Brazil

    Tania Regina Tronco & Miquel Garrich

  2. Department of Electrical and Computer Engineering, EESC, University of São Paulo, São Carlos, SP, 13566-590, Brazil

    Amílcar Careli César & Mônica de Lacerda Rocha

Authors
  1. Tania Regina Tronco
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  2. Miquel Garrich
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  3. Amílcar Careli César
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  4. Mônica de Lacerda Rocha
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Corresponding author

Correspondence to Mônica de Lacerda Rocha.

Additional information

Work partially supported by FAPESP (Grant 2013/05177-6), CNPq (Grant 482191/2013-9), and CPqD Foundation.

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Tronco, T.R., Garrich, M., César, A.C. et al. Cognitive algorithm using fuzzy reasoning for software-defined optical network. Photon Netw Commun 32, 281–292 (2016). https://doi.org/10.1007/s11107-016-0628-1

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  • DOI: https://doi.org/10.1007/s11107-016-0628-1

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