Distributed restoration in optical networks using feed-forward neural networks

Date

2006-07-01

Author

Karpat, Demeter Gokisik
Bilgen, Semih

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

189
views

0
downloads

A new method is proposed for determining protection paths in an optical network where users have different characteristics in terms of reliability needs and security restrictions. Survivability is achieved by distributed mesh protection. Over the preplanned 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

Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Software, Atomic and Molecular Physics, and Optics

URI

https://hdl.handle.net/11511/51014

Journal

PHOTONIC NETWORK COMMUNICATIONS

DOI

https://doi.org/10.1007/s11107-006-0014-5

Collections

Graduate School of Natural and Applied Sciences, Article

Suggestions

OpenMETU
Core

Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison Soysal, Murat; Schmidt, Şenan Ece (Elsevier BV, 2010-06-01) The task of network management and monitoring relies on an accurate characterization of network traffic generated by different applications and network protocols. We employ three supervised machine learning (ML) algorithms, Bayesian Networks, Decision Trees and Multilayer Perceptrons for the flow-based classification of six different types of Internet traffic including peer-to-peer (P2P) and content delivery (Akamai) traffic. The dependency of the traffic classification performance on the amount and composi...
Path planning for mobile-anchor based wireless sensor network localization: Static and dynamic schemes Erdemir, Ecenaz; Tuncer, Temel Engin (Elsevier BV, 2018-08-01) In wireless sensor networks, node locations are required for many applications. Usually, anchors with known positions are employed for localization. Sensor positions can be estimated more efficiently by using mobile anchors (MAs). Finding the best MA trajectory is an important problem in this context. Various path planning algorithms are proposed to localize as many sensors as possible by following the shortest path with minimum number of anchors. In this paper, path planning algorithms for MA assisted loca...
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models Ozay, Mete; Esnaola, Inaki; Yarman Vural, Fatoş Tunay; Kulkarni, Sanjeev R.; Poor, H. Vincent (Institute of Electrical and Electronics Engineers (IEEE), 2013-07-01) New methods that exploit sparse structures arising in smart grid networks are proposed for the state estimation problem when data injection attacks are present. First, construction strategies for unobservable sparse data injection attacks on power grids are proposed for an attacker with access to all network information and nodes. Specifically, novel formulations for the optimization problem that provide a flexible design of the trade-off between performance and false alarm are proposed. In addition, the ce...
Space-bandwidth-efficient realizations of linear systems KUTAY, MA; ERDEN, MF; OZAKTAS, HM; ARIKAN, O; GULERYUZ, O; Candan, Çağatay (The Optical Society, 1998-07-15) One can obtain either exact realizations or useful approximations of linear systems or matrix-vector products that arise in many different applications by implementing them in the form of multistage or multichannel fractional Fourier-domain filters, resulting in space-bandwidth-efficient systems with acceptable decreases in accuracy. Varying the number and the configuration of filters enables one to trade off between accuracy and efficiency in a flexible manner. The proposed scheme constitutes a systematic ...
Transmit Precoding for Flat-Fading MIMO Multiuser Systems With Maximum Ratio Combining Receivers Coskun, Adem; Candan, Çağatay (Institute of Electrical and Electronics Engineers (IEEE), 2011-02-01) We examine the application of transmit precoding in multiuser multi-input-multi-output (MIMO) communication systems with maximum ratio combining (MRC) receivers. In many multiuser applications, the maximum-likelihood or minimum mean-square error (MMSE) receivers can be prohibitive to implement due to their high implementation complexity. We examine the performance of the system with simple MRC receivers and carefully selected precoders, which are designed to compensate the lack of high-complexity receivers,...

Citation Formats

D. G. Karpat and S. Bilgen, “Distributed restoration in optical networks using feed-forward neural networks,” PHOTONIC NETWORK COMMUNICATIONS, pp. 53–64, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51014.