作者机构:
[李蔚; 何军; 刘德明; 黄德修] Department of Optoelectronic Engineering, Huazhong University of Science and Technology;[李源] Department of Computer Science, Central China Normal University
通讯机构:
[Li, W.] D;Dept. of Optoelectron. Eng., Huazhong Univ. of Sci. and Technol., China
关键词:
Genetic algorithms;Optical networks
摘要:
In a wavelength routing optical network (WRON), the optimal allocation of wavelength converters (WCs) is very important to minimize the number of WCs, enhance the fiber utilization, reduce the blocking probability, etc.. In this paper, a novel simplified network model with shared WCs has been proposed. An effective algorithm for optimal allocation of shared WCs has been presented by using a revised Dijkstra algorithm and genetic algorithm (GA). The effectiveness of the revised algorithm was verified through the simulation on Nature and Science Foundation (NSF) net of USA. This revised algorithm can achieve blocking probability 36% less than the algorithm in previous work, and the calculating time of the minimum blocking probability can be reduced dramatically.
作者机构:
[黄德修; 刘德明; 何军; 李蔚; 杨春勇] Dept. of Optoelectron. Eng., Huazhong Univ. of Sci. and Technol., Wuhan 430074, China;[李源] Dept. of Comp. Sci., Central China Normal Univ., Wuhan 430070, China
通讯机构:
[Li, W.] D;Dept. of Optoelectron. Eng., Huazhong Univ. of Sci. and Technol., China