Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 17,
  • Issue 4,
  • pp. 535-
  • (1999)

Heuristic Algorithm for Allocation of Wavelength Convertible Nodes and Routing Coordination in All-Optical Networks

Not Accessible

Your library or personal account may give you access

Abstract

It is true that in all-optical networks, network performance can be improved by wavelength conversion. However, the switching node with wavelength conversion capability is still costly, and the number of such nodes should be limited in the network. In this paper, a performance optimization problem is treated in all-optical networks. We propose a heuristic algorithm to minimize an overall blocking probability by properly allocating a limited number of nodes with wavelength conversion capability. The routing strategy is also considered suitable to the case where the number of wavelength convertible nodes are limited. We validate the minimization level of our heuristic algorithm through numerical examples, and show that our algorithm can properly allocate nodes with conversion and decide routes for performance optimization.

[IEEE ]

PDF Article
More Like This
Load Balancing in Fixed-Routing Optical Networks with Weighted Ordering Heuristics

L. H. Bonani, J. C. F. Queiroz, M. L. F. Abbade, and F. Callegati
J. Opt. Commun. Netw. 11(3) 26-38 (2019)

Joint Banding-Node Placement and Resource Allocation for Multigranular Elastic Optical Networks

Jingxin Wu, Maotong Xu, Suresh Subramaniam, and Hiroshi Hasegawa
J. Opt. Commun. Netw. 10(8) C27-C38 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.