Neural network based optical network restoration with multiple classes of traffic

Gokisik D., Bilgen S.

COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, cilt.2869, ss.771-778, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 2869
  • Basım Tarihi: 2003
  • Dergi Adı: COMPUTER AND INFORMATION SCIENCES - ISCIS 2003
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, MathSciNet, Philosopher's Index, zbMATH
  • Sayfa Sayıları: ss.771-778
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

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.