Neural network based optical network restoration with multiple classes of traffic

Date

2003-01-01

Author

Gokisik, D
Bilgen, Semih

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Neural-network-based optical network restoration is illustrated over an example in which multiple classes of traffic are considered. Over the pre-planned primary and backup capacity, optimal routing and wavelength assignment is carried out. In case of a network failure, protection routes and optimum flow values on these protection routes are extracted from a previously trained feed-forward neural network which is distributed over the optical data communications network.

Subject Keywords

Optical networks, Wavelength division multiplexing, Restoration, Neural networks

URI

https://hdl.handle.net/11511/63256

Journal

COMPUTER AND INFORMATION SCIENCES - ISCIS 2003

Collections

Graduate School of Natural and Applied Sciences, Article

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Citation Formats

D. Gokisik and S. Bilgen, “Neural network based optical network restoration with multiple classes of traffic,” COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, pp. 771–778, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63256.