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Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks

Author

Listed:
  • Krzysztof Przystupa

    (Department of Automation, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland)

  • Mykola Beshley

    (Department of Telecommunications, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Mykola Kaidan

    (Department of Telecommunications, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Volodymyr Andrushchak

    (Department of Telecommunications, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Ivan Demydov

    (Department of Telecommunications, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Orest Kochan

    (Department of Telecommunications, Lviv Polytechnic National University, 79013 Lviv, Ukraine
    School of Computer Science, Hubei University of Technology, Wuhan 430068, China)

  • Daniel Pieniak

    (Department of Mechanics and Machine Building, University of Economics and Innovations in Lublin, Projektowa 4, 20-209 Lublin, Poland)

Abstract

In communication networks, the volume of traffic, the number of connected devices and users continues to grow. As a result, the energy consumption generated by the communication infrastructure has become an important parameter that needs to be carefully considered and optimized both when designing the network and when operating it in real-time. In this paper, the methodology of calculation of complex parameters of energy consumption for transport telecommunication networks is proposed. Unlike the known techniques, the proposed methodology takes into account heterogeneity and multilayer networks. It also takes into account the energy consumption parameter during the downtime of the network equipment in the process of processing the service data blocks, which is quite an important task for improving the accuracy of energy consumption at the stage of implementing the energy-saving network. We also developed simulation software to estimate and manage the energy consumption of the optical transport network using the LabVIEW environment. This software tool allows telecommunication network designers to evaluate energy consumption, which allows them to choose the optimal solution for the desired projects. The use of electro-and acousto-optical devices for optical transport networks is analyzed. We recommended using electro-optical devices for optical modulators and acousto-optical devices for optical switches. The gain from using this combination of optical devices and the parameter of r ij electro-optical coefficient and M 2 acousto-optical quality parameter found in the paper is about 36.1% relative to the complex criterion of energy consumption.

Suggested Citation

  • Krzysztof Przystupa & Mykola Beshley & Mykola Kaidan & Volodymyr Andrushchak & Ivan Demydov & Orest Kochan & Daniel Pieniak, 2020. "Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks," Energies, MDPI, vol. 13(23), pages 1-21, December.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6370-:d:455085
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    References listed on IDEAS

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    1. Adriana Fernández-Fernández & Cristina Cervelló-Pastor & Leonardo Ochoa-Aday, 2017. "Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems," Energies, MDPI, vol. 10(12), pages 1-27, December.
    2. Ghulam Hafeez & Khurram Saleem Alimgeer & Zahid Wadud & Zeeshan Shafiq & Mohammad Usman Ali Khan & Imran Khan & Farrukh Aslam Khan & Abdelouahid Derhab, 2020. "A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid," Energies, MDPI, vol. 13(9), pages 1-25, May.
    3. Asma Mohamad Aris & Bahman Shabani, 2015. "Sustainable Power Supply Solutions for Off-Grid Base Stations," Energies, MDPI, vol. 8(10), pages 1-38, September.
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    1. Donatas Gurauskis & Krzysztof Przystupa & Artūras Kilikevičius & Mikołaj Skowron & Matijošius Jonas & Joanna Michałowska & Kristina Kilikevičienė, 2022. "Performance Analysis of an Experimental Linear Encoder’s Reading Head under Different Mounting and Dynamic Conditions," Energies, MDPI, vol. 15(16), pages 1-13, August.
    2. Ignacio Mauleón, 2021. "Aggregated World Energy Demand Projections: Statistical Assessment," Energies, MDPI, vol. 14(15), pages 1-13, July.

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