Analysis on Different Optimization Methods, Applications, and Categories of Optical Fiber Networks: A Review

Arjun Dubey, Harmeet Singh, Simarpreet Kaur
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引用次数: 1

Abstract

OFs (Optical Fibers) are broadly used for information broadcast systems due to their extensive information-carrying capability and dielectric environment. The OFs network architectures that use several WLs (wavelengths) per OFs connect thousands of users in central, urban, or large-scale applications with a wide range of transmission speeds and capabilities. This article defines a detailed introduction to optical fiber networks and general phases of communication of OF (Optical Fiber) procedure. The taxonomy may be based on optical fibers such as; (i) Structure, (ii) number of modes, (iii) refractive index profile, (iv) dispersion, (v) signal processing capacity (vi) Polarization. After that, it explains the merits and demerits of optical fiber networks. They studied optical wireless communications applications such as SMs (shopping malls), UW (underwater), industries, etc. Several analyses with different optimization methods such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle-Swarm Optimization (PSO) algorithms. An effective resource-allocation method is required to reduce the issue of EE (energy-efficiency) and improve the presentation of quality-of-services of the ONs (Optical Networks).
光纤网络的不同优化方法、应用和类别分析
光纤由于具有广泛的信息承载能力和介质环境,在信息广播系统中得到了广泛的应用。每个OFs使用几个波长(波长)的OFs网络架构以广泛的传输速度和能力连接中心、城市或大规模应用中的数千个用户。本文详细介绍了光纤网络和光纤通信的一般阶段。分类可以基于光纤,如;(i)结构,(ii)模式数,(iii)折射率分布,(iv)色散,(v)信号处理能力(vi)偏振。然后,阐述了光纤网络的优缺点。他们研究了SMs(商场)、UW(水下)、工业等光通信应用。对遗传算法(GA)、蚁群算法(ACO)和粒子群算法(PSO)等不同优化方法进行了分析。需要一种有效的资源分配方法来减少能源效率问题和改善光网络的服务质量。
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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