{"title":"Design and analysis of novel SDN-controlled dynamically reconfigurable TDM-DWDM-based optical network for smart cities","authors":"Garima Singh, Gurjit Kaur","doi":"10.1007/s11107-023-01012-1","DOIUrl":null,"url":null,"abstract":"<p>With the increasing bandwidth requirements in smart cities, high-capacity optical networks featuring ultrahigh bandwidths have become a necessity. The currently existing static and dynamic optical networks cannot efficiently optimize network resources and do not support intelligent decision making for smart cities, rendering them energy inefficient. The software-defined networking (SDN) controller in these networks also requires intelligent algorithms that can optimize network resources based on bandwidth requirements. We have designed a novel SDN-controlled dynamically reconfigurable time division multiplexing and dense wavelength-division multiplexing-based optical network for smart cities, which maximizes the utilization of network resources, making it energy efficient. To further empower the decision-making capabilities of the SDN controller, three novel algorithms are proposed: inter-application wavelength redirection with ROADM, dynamic load balancing, and bandwidth selection with resource allocation based on the different bandwidth requirements of primary and secondary applications. These algorithms sense the free bandwidth in primary applications and then assign this free bandwidth to secondary applications accordingly. The proposed SDN controller determines the best algorithm that optimally utilizes the network resources and routes the traffic through it. The performance of the designed optical network for a smart city is analyzed in terms of different performance parameters such as the bandwidth satisfaction rate, timing diagrams, eye diagrams, bit error rate, and quality factor. The proposed algorithms prove instrumental in the more efficient utilization of network resources, ensuring the maintenance of the required quality of service. This holistic proposed system addresses the unique challenges posed by smart cities, emphasizing energy efficiency and intelligent decision-making within the dynamic landscape of high-capacity optical networks.</p>","PeriodicalId":20057,"journal":{"name":"Photonic Network Communications","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photonic Network Communications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11107-023-01012-1","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
With the increasing bandwidth requirements in smart cities, high-capacity optical networks featuring ultrahigh bandwidths have become a necessity. The currently existing static and dynamic optical networks cannot efficiently optimize network resources and do not support intelligent decision making for smart cities, rendering them energy inefficient. The software-defined networking (SDN) controller in these networks also requires intelligent algorithms that can optimize network resources based on bandwidth requirements. We have designed a novel SDN-controlled dynamically reconfigurable time division multiplexing and dense wavelength-division multiplexing-based optical network for smart cities, which maximizes the utilization of network resources, making it energy efficient. To further empower the decision-making capabilities of the SDN controller, three novel algorithms are proposed: inter-application wavelength redirection with ROADM, dynamic load balancing, and bandwidth selection with resource allocation based on the different bandwidth requirements of primary and secondary applications. These algorithms sense the free bandwidth in primary applications and then assign this free bandwidth to secondary applications accordingly. The proposed SDN controller determines the best algorithm that optimally utilizes the network resources and routes the traffic through it. The performance of the designed optical network for a smart city is analyzed in terms of different performance parameters such as the bandwidth satisfaction rate, timing diagrams, eye diagrams, bit error rate, and quality factor. The proposed algorithms prove instrumental in the more efficient utilization of network resources, ensuring the maintenance of the required quality of service. This holistic proposed system addresses the unique challenges posed by smart cities, emphasizing energy efficiency and intelligent decision-making within the dynamic landscape of high-capacity optical networks.
随着智慧城市对带宽的要求越来越高,具有超高带宽的大容量光网络已成为一种必然。现有的静态和动态光网络无法有效优化网络资源,也不支持智慧城市的智能决策,因此能效低下。这些网络中的软件定义网络(SDN)控制器也需要能根据带宽需求优化网络资源的智能算法。我们为智慧城市设计了一种新型的 SDN 控制动态可重构时分复用和密集波分复用光网络,该网络能最大限度地利用网络资源,从而提高能效。为了进一步增强 SDN 控制器的决策能力,本文提出了三种新型算法:基于 ROADM 的应用间波长重定向、动态负载平衡以及基于主辅应用不同带宽需求的带宽选择与资源分配。这些算法能感知主应用程序的空闲带宽,然后相应地将空闲带宽分配给辅助应用程序。拟议的 SDN 控制器可确定最佳算法,优化利用网络资源,并通过该算法路由流量。所设计的智慧城市光网络的性能通过不同的性能参数进行了分析,如带宽满足率、时序图、眼图、误码率和品质因数。事实证明,所提出的算法有助于更有效地利用网络资源,确保维持所需的服务质量。这种整体性的拟议系统可应对智慧城市带来的独特挑战,在大容量光网络的动态环境中强调能源效率和智能决策。
期刊介绍:
This journal publishes papers involving optical communication networks. Coverage includes network and system technologies; network and system architectures; network access and control; network design, planning, and operation; interworking; and application design for an optical infrastructure
This journal publishes high-quality, peer-reviewed papers presenting research results, major achievements, and trends involving all aspects of optical network communications.
Among the topics explored are transport, access, and customer premises networks; local, regional, and global networks; transoceanic and undersea networks; optical transparent networks; WDM, HWDM, and OTDM networks and more.