Share Email Print

Proceedings Paper

An optimal policy based on the genetic algorithm for the dynamic threshold of the optical network
Author(s): Hongying Zhu; Zichun Le; Wen Dong; Minglei Fu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The complete partitioning policy (CP) for the wavelength resource in optical networks is now widely focused on. The dynamic threshold is one of the ways to make CP policy more efficient. Furthermore, an optimized threshold will be better for reducing the blocking probability and improving the utilization of the wavelength resource. Hence, the genetic algorithm is selected as the optimal policy on virtue of its excellent global search performance for getting optimized value of the dynamic threshold. Moreover, a maximal threshold as the high limit for the dynamic threshold is needed to be decided for making wavelengths shared between different wavelength classes, because the class with higher priority can share its wavelengths with the lower one after its own call setups are satisfied. Therefore, a neural network predictor that can predict the number of the next call setup is designed on the basis of the genetic algorithm to solve this problem. The values of the dynamic threshold and the maximal threshold are calculated, and the simulation results show that they take good effect in reducing the blocking probability and improving the utilization of the wavelength resource.

Paper Details

Date Published: 21 September 2006
PDF: 8 pages
Proc. SPIE 6353, Optical Transmission, Switching, and Subsystems IV, 63530P (21 September 2006); doi: 10.1117/12.688635
Show Author Affiliations
Hongying Zhu, Zhejiang Univ. of Technology (China)
Zichun Le, Zhejiang Univ. of Technology (China)
Wen Dong, Zhejiang Univ. of Technology (China)
Minglei Fu, Zhejiang Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6353:
Optical Transmission, Switching, and Subsystems IV
Chang Soo Park; Shizhong Xie; Curtis R. Menyuk; Ken-ichi Kitayama, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?