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


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


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.


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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