Distributed restoration in optical networks using feed-forward neural networks

2006-07-01
Karpat, Demeter Gokisik
Bilgen, Semih
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.
PHOTONIC NETWORK COMMUNICATIONS

Suggestions

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...
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...
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 ...
Delay aware reliable transport in wireless sensor networks
Gungor, Vehbi C.; Akan, Oezguer B. (Wiley, 2007-10-01)
Wireless sensor networks (WSN) are event-based systems that rely on the collective effort of several sensor nodes. Reliable event detection at the sink is based on collective information provided by the sensor nodes and not on any individual sensor data. Hence, conventional end-to-end reliability definitions and solutions are inapplicable in the WSN regime and would only lead to a waste of scarce sensor resources. Moreover, the reliability objective of WSN must be achieved within a certain real-time delay b...
Quality of deployment in surveillance wireless sensor networks
Onur, Ertan; Deliç, Hakan (Springer Science and Business Media LLC, 2005-01-01)
When wireless sensors are used to keep an area under surveillance, a critical issue is the quality of the deployment from the sensing coverage viewpoint. In this paper, we propose several quality measures, which indicate if the deployment provides sufficient coverage, or whether redeployment is required or not. The terrain is modeled as a grid and the placement of the sensors is uniformly distributed. Neyman–Pearson detection is utilized to determine the effects of false-alarm and signal characteristics on ...
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.