Metropolitan fiber optical network planning model based on self organizing neural networks

Authors:
Alexandru Smeureanu;Stefan Daniel Dumitrescu;Liviu Adrian Cotfas;Andreea Diosteanu
Affiliations:
Economic Informatics, The Bucharest Academy of Economic Studies, Bucharest, Romania;Computers and Information Technology, Politehnica University of Bucharest, Bucharest, Romania;Economic Informatics, The Bucharest Academy of Economic Studies, Bucharest, Romania;The Bucharest Academy of Economic Studies, Bucharest, Romania
Venue:
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Year:
2011

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Abstract

The paper presents a model for metropolitan optical network design that relies on self organizing neural networks and graph theory adapted algorithms. The resulted network is a two layered hierarchical network; the first layer represents the core of the network and has a ring topology while the second layer has a tree topology with a maximum depth constraint. The model is aimed towards providing a close to optimal solution for large problem configurations that are unsolvable in polynomial time.