Open AccessApplication of Machine Learning in Routing and Wavelength Assignment: Literature Survey
Author(s) -
S Likhitha
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.33891
Subject(s) - routing and wavelength assignment , computer science , ant colony optimization algorithms , routing (electronic design automation) , reinforcement learning , path (computing) , genetic algorithm , computer network , selection (genetic algorithm) , wavelength , artificial intelligence , wavelength division multiplexing , machine learning , physics , optoelectronics
This paper presents the survey of the prominent issue in optical networks is Routing and Wavelength Assignment (RWA), due to the heavy traffic in network, there will be a need for wavelength assignment to the track in that network. The RWA problem is resolved using the approach of Genetic Algorithm and Ant Colony Optimization Algorithm, wherein up until now is noticed to be better than other optimization algorithms. By using Deep Q-Networks, a type of reinforcement learning, in optimizing the problem in selection of the routing path and wavelength assignment in an optical mesh network.