SELF-CONFIGURATION AND SELF-HEALING FOR COGNITIVE OPTICAL NETWORKS

Authors

  • Tania Regina Tronco
  • Mariana Massimino Feres
  • Amilcar Careli César
  • Mônica de Lacerda Rocha

Keywords:

Cognitive Optical Networks, Adaptive Optical Networks, SelfConfiguration, Self-Healing, GMPLS, WDM

Abstract

In this article we propose a fuzzy controller, as an inference engine for cognitive optical networks, to take decisions about routing of new demands of lightpaths, considering physical layer impairments (Fuzzy Controlled-PLIARWA algorithm), self-configuration, self-healing and cross-layer optimization functionalities. The proposed algorithm has been tested in a metropolitan-scaled network. The preliminary results obtained are promising in terms of modularity, flexibility, and high processing speed, independency of underlying technology and scalability of the solution.

References

[1] A. Wang, j. Yu, "Cognitive Optical Networks: Key Drivers, Enabling Techniques and Adaptive Bandwidth Services",
IEEE Communications magazine, janeiro de 2012.
[2] R. Thomas, “Cognitive Networks” - Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State
University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Engineering,
June 15, 2009.
[3] Z. Movahedi et al., “A Survey of Autonomic Network Architectures and Evaluation Criteria”, IEEE Communications
Surveys and Tutorials, Vol. 14, No. 2, Second Quarter 2012.
[4] CHRON Project, http://www.ict-chron.eu/.
[5] G. Zervas, D. Simeonidou, “Cognitive Optical Networks: Need, Requirements and Architecture”, Proceedings ICTON
2010.
[6] M. Glykas, “Fuzzy Cognitive Maps - Advances in Theory, Methodologies, Tools and Applications”, ISBN 978-3-642-
03219-6, Springer-Verlag Berlin Heidelberg, 2010.
[7] N. Baldo and M. Zorzi, “Fuzzy Logic for Cross-Layer Optimization in Cognitive Radio networks”, IEEE
Communications magazine, April 2008.
[8] http://www.optiwave.com/products/system_overview.html, accessed in March, 21, 2013.
[9] G. Klir and B. Yuan, “Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice-Hall PTR, 1995.
[10] IETF RFC 3945 – “Generalized Multi-Protocol Label Switching (GMPLS) Architecture”, October 2004.
[11] D. Siracusa et al., "A control plane framework for future cognitive heterogeneous optical networks." International
Conference on Transparent Optical Networks (ICTON), 2012.
[12] T. Tronco, “Avaliação da Precisão de BER Obtida Através dos Códigos Corretores de Erro de Sistemas SDH Ópticos e
Rádio”, VI Simpósio Brasileiro de Microondas e Optoeletrônica, Belém, PA, Brasil, 1994. Vol. 1. p. 295-300.
[13] Silva, I. N. et al., “Redes Neurais Artificiais para Engenharia e Ciências Aplicadas”. Editora Artliber, 2010.

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Published

2013-08-01

How to Cite

Tania Regina Tronco, Mariana Massimino Feres, Amilcar Careli César, & Mônica de Lacerda Rocha. (2013). SELF-CONFIGURATION AND SELF-HEALING FOR COGNITIVE OPTICAL NETWORKS. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 12, si193-si205. Retrieved from http://www.jmoe.org/index.php/jmoe/article/view/400