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Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids
This work is focused on the performance analysis and optimal routing of wireless technology for intelligent energy metering, considering the inclusion of micro grids. For the study, a geo-referenced scenario has been taken into account, which will form the structure of a graph to be solved using heu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588399/ https://www.ncbi.nlm.nih.gov/pubmed/34770515 http://dx.doi.org/10.3390/s21217208 |
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author | Suárez, Carlos Inga, Esteban |
author_facet | Suárez, Carlos Inga, Esteban |
author_sort | Suárez, Carlos |
collection | PubMed |
description | This work is focused on the performance analysis and optimal routing of wireless technology for intelligent energy metering, considering the inclusion of micro grids. For the study, a geo-referenced scenario has been taken into account, which will form the structure of a graph to be solved using heuristic-based algorithms. In the first instance, the candidate site of the world geography to perform the case study is established, followed by deploying infrastructure devices and determining variables and parameters. Then, the model configuration is programmed, taking into account that a set of nodes and vertices is established for proper routing, resulting in a preliminary wireless network topology. Finally, from a set of restrictions, a determination of users connected to the concentrator and optimal routing is performed. This procedure is treated as a coverage set problem. Consequently, to establish the network parameters, two restrictions are specifically considered, capacity and range; thus, can be determined the best technology to adapt to the location. Finally, a verification of the resulting network topologies and the performance of the infrastructure is done by simulating the wireless network. With the model created, scenarios are tested, and it is verified that the optimization model demonstrates its effectiveness. |
format | Online Article Text |
id | pubmed-8588399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85883992021-11-13 Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids Suárez, Carlos Inga, Esteban Sensors (Basel) Article This work is focused on the performance analysis and optimal routing of wireless technology for intelligent energy metering, considering the inclusion of micro grids. For the study, a geo-referenced scenario has been taken into account, which will form the structure of a graph to be solved using heuristic-based algorithms. In the first instance, the candidate site of the world geography to perform the case study is established, followed by deploying infrastructure devices and determining variables and parameters. Then, the model configuration is programmed, taking into account that a set of nodes and vertices is established for proper routing, resulting in a preliminary wireless network topology. Finally, from a set of restrictions, a determination of users connected to the concentrator and optimal routing is performed. This procedure is treated as a coverage set problem. Consequently, to establish the network parameters, two restrictions are specifically considered, capacity and range; thus, can be determined the best technology to adapt to the location. Finally, a verification of the resulting network topologies and the performance of the infrastructure is done by simulating the wireless network. With the model created, scenarios are tested, and it is verified that the optimization model demonstrates its effectiveness. MDPI 2021-10-29 /pmc/articles/PMC8588399/ /pubmed/34770515 http://dx.doi.org/10.3390/s21217208 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Suárez, Carlos Inga, Esteban Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids |
title | Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids |
title_full | Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids |
title_fullStr | Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids |
title_full_unstemmed | Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids |
title_short | Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids |
title_sort | optimal performance and modeling of wireless technology enabling smart electric metering systems including microgrids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588399/ https://www.ncbi.nlm.nih.gov/pubmed/34770515 http://dx.doi.org/10.3390/s21217208 |
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