{"title":"Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives","authors":"Gigi Varghese, Nurfiana","doi":"10.1109/CITISIA50690.2020.9371775","DOIUrl":null,"url":null,"abstract":"Increased use of internet services require the implementation of optical networks for increasing the reliability of the services efficiently. The optical network requires managing available bandwidth and components to manage the functional complexity of the network. Photonic technology helps in optimising the network designing that increases the complexity of the network. Computational intelligence is the technique that can be implemented in the optical network for reducing the complexity of different applications of photonics technology. The main aim of this study is to realise the photonic technique in optical network-based infrastructure to resolve different optimisation issues. This research is focused on identifying an efficient computational intelligence-based mathematical model that can be implemented in the optical network for obtaining high-performance computing. Network environment, optical communication, and optical performance monitoring are the major components required for developing the system for optical networks. Evaluation and description of these components help in developing a required photonic based optical network that helps in reducing the complexity of the system in computational intelligence. Classification of the developed system helps in identifying the computational intelligence technique to be implemented in photonic technology for increasing the efficiency of the optical network.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITISIA50690.2020.9371775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Increased use of internet services require the implementation of optical networks for increasing the reliability of the services efficiently. The optical network requires managing available bandwidth and components to manage the functional complexity of the network. Photonic technology helps in optimising the network designing that increases the complexity of the network. Computational intelligence is the technique that can be implemented in the optical network for reducing the complexity of different applications of photonics technology. The main aim of this study is to realise the photonic technique in optical network-based infrastructure to resolve different optimisation issues. This research is focused on identifying an efficient computational intelligence-based mathematical model that can be implemented in the optical network for obtaining high-performance computing. Network environment, optical communication, and optical performance monitoring are the major components required for developing the system for optical networks. Evaluation and description of these components help in developing a required photonic based optical network that helps in reducing the complexity of the system in computational intelligence. Classification of the developed system helps in identifying the computational intelligence technique to be implemented in photonic technology for increasing the efficiency of the optical network.