Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks
A possible solution to address the enormous increase in traffic demands faced by network operators is to rely on multi-fiber optical backbone networks. These networks use multiple optical fibers between adjacent nodes, and, when properly designed, they are capable of handling petabits of data per se...
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MDPI AG
2024-11-01
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| author | Alexandre Freitas João Pires |
| author_facet | Alexandre Freitas João Pires |
| author_sort | Alexandre Freitas |
| collection | DOAJ |
| description | A possible solution to address the enormous increase in traffic demands faced by network operators is to rely on multi-fiber optical backbone networks. These networks use multiple optical fibers between adjacent nodes, and, when properly designed, they are capable of handling petabits of data per second (Pbit/s). In this paper, an artificial neural network (ANN) model is investigated to estimate both the capacity and cost of a multi-fiber optical network. Furthermore, a fiber assignment algorithm is also proposed to complement the network design, enabling the generation of datasets for training and testing of the developed ANN model. The model consists of three layers, including one hidden layer with 50 hidden units. The results show that for a large network, such as one with 100 nodes, the model can estimate performance metrics with an average relative error of less than 0.4% for capacity and 4% for cost, while achieving a computation time nearly 800 times faster than the heuristic approach used in network simulation. Additionally, the network capacity is around 5 Pbit/s. |
| format | Article |
| id | doaj-art-bdea678bcc7c4aa087f5e390ad1676f4 |
| institution | Kabale University |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-11-01 |
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| series | Photonics |
| spelling | doaj-art-bdea678bcc7c4aa087f5e390ad1676f42024-12-27T14:47:06ZengMDPI AGPhotonics2304-67322024-11-011112111010.3390/photonics11121110Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone NetworksAlexandre Freitas0João Pires1Department of Electrical and Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais 1, 1049-001 Lisboa, PortugalDepartment of Electrical and Computer Engineering and Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais 1, 1049-001 Lisboa, PortugalA possible solution to address the enormous increase in traffic demands faced by network operators is to rely on multi-fiber optical backbone networks. These networks use multiple optical fibers between adjacent nodes, and, when properly designed, they are capable of handling petabits of data per second (Pbit/s). In this paper, an artificial neural network (ANN) model is investigated to estimate both the capacity and cost of a multi-fiber optical network. Furthermore, a fiber assignment algorithm is also proposed to complement the network design, enabling the generation of datasets for training and testing of the developed ANN model. The model consists of three layers, including one hidden layer with 50 hidden units. The results show that for a large network, such as one with 100 nodes, the model can estimate performance metrics with an average relative error of less than 0.4% for capacity and 4% for cost, while achieving a computation time nearly 800 times faster than the heuristic approach used in network simulation. Additionally, the network capacity is around 5 Pbit/s.https://www.mdpi.com/2304-6732/11/12/1110multi-fiber optical networksartificial neural networksmachine learningnetwork capacity and costfiber assignment |
| spellingShingle | Alexandre Freitas João Pires Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks Photonics multi-fiber optical networks artificial neural networks machine learning network capacity and cost fiber assignment |
| title | Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks |
| title_full | Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks |
| title_fullStr | Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks |
| title_full_unstemmed | Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks |
| title_short | Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks |
| title_sort | using artificial neural networks to evaluate the capacity and cost of multi fiber optical backbone networks |
| topic | multi-fiber optical networks artificial neural networks machine learning network capacity and cost fiber assignment |
| url | https://www.mdpi.com/2304-6732/11/12/1110 |
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