Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives

Gigi Varghese, Nurfiana
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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.
光子技术与光网络中的计算智能:综述与展望
互联网服务的增加使用要求实现光网络,以有效地提高服务的可靠性。光网络需要管理可用带宽和组件,以管理网络的功能复杂性。光子技术有助于优化网络设计,从而增加网络的复杂性。计算智能是一种可以在光网络中实现的技术,用于降低不同光子技术应用的复杂性。本研究的主要目的是在基于光网络的基础设施中实现光子技术,以解决不同的优化问题。本研究的重点是确定一种有效的基于计算智能的数学模型,该模型可以在光网络中实现,以获得高性能的计算。网络环境、光通信和光性能监控是开发光网络系统所需要的主要组成部分。对这些组件的评估和描述有助于开发所需的基于光子的光网络,从而有助于降低系统在计算智能中的复杂性。所开发系统的分类有助于确定计算智能技术在光子技术中的应用,以提高光网络的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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