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TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks
Wireless sensor networks (WSNs) play a key role in the ecosystem of the Industrial Internet of Things (IIoT) and the definition of today’s Industry 4.0. These WSNs have the ability to sensor large amounts of data, thanks to their easy scalability. WSNs allow the deployment of a large number of self-...
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/PMC8201249/ https://www.ncbi.nlm.nih.gov/pubmed/34198793 http://dx.doi.org/10.3390/s21113904 |
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author | Vera-Pérez, Jose Silvestre-Blanes, Javier Sempere-Payá, Víctor |
author_facet | Vera-Pérez, Jose Silvestre-Blanes, Javier Sempere-Payá, Víctor |
author_sort | Vera-Pérez, Jose |
collection | PubMed |
description | Wireless sensor networks (WSNs) play a key role in the ecosystem of the Industrial Internet of Things (IIoT) and the definition of today’s Industry 4.0. These WSNs have the ability to sensor large amounts of data, thanks to their easy scalability. WSNs allow the deployment of a large number of self-configuring nodes and the ability to automatically reorganize in case of any change in the topology. This huge sensorization capacity, together with its interoperability with IP-based networks, allows the systems of Industry 4.0 to be equipped with a powerful tool with which to digitalize a huge amount of variables in the different industrial processes. The IEEE 802.15.4e standard, together with the access mechanism to the Time Slotted Channel Hopping medium (TSCH) and the dynamic Routing Protocol for Low-Power and Lossy Networks (RPL), allow deployment of networks with the high levels of robustness and reliability necessary in industrial scenarios. However, these configurations have some disadvantages in the deployment and synchronization phases of the networks, since the time it takes to synchronize the nodes is penalized compared to other solutions in which access to the medium is done randomly and without channel hopping. This article proposes an analytical model to characterize the behavior of this type of network, based on TSCH and RPL during the phases of deployment along with synchronization and connection to the RPL network. Through this model, validated by simulation and real tests, it is possible to parameterize different configurations of a WSN network based on TSCH and RPL. |
format | Online Article Text |
id | pubmed-8201249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82012492021-06-15 TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks Vera-Pérez, Jose Silvestre-Blanes, Javier Sempere-Payá, Víctor Sensors (Basel) Article Wireless sensor networks (WSNs) play a key role in the ecosystem of the Industrial Internet of Things (IIoT) and the definition of today’s Industry 4.0. These WSNs have the ability to sensor large amounts of data, thanks to their easy scalability. WSNs allow the deployment of a large number of self-configuring nodes and the ability to automatically reorganize in case of any change in the topology. This huge sensorization capacity, together with its interoperability with IP-based networks, allows the systems of Industry 4.0 to be equipped with a powerful tool with which to digitalize a huge amount of variables in the different industrial processes. The IEEE 802.15.4e standard, together with the access mechanism to the Time Slotted Channel Hopping medium (TSCH) and the dynamic Routing Protocol for Low-Power and Lossy Networks (RPL), allow deployment of networks with the high levels of robustness and reliability necessary in industrial scenarios. However, these configurations have some disadvantages in the deployment and synchronization phases of the networks, since the time it takes to synchronize the nodes is penalized compared to other solutions in which access to the medium is done randomly and without channel hopping. This article proposes an analytical model to characterize the behavior of this type of network, based on TSCH and RPL during the phases of deployment along with synchronization and connection to the RPL network. Through this model, validated by simulation and real tests, it is possible to parameterize different configurations of a WSN network based on TSCH and RPL. MDPI 2021-06-05 /pmc/articles/PMC8201249/ /pubmed/34198793 http://dx.doi.org/10.3390/s21113904 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 Vera-Pérez, Jose Silvestre-Blanes, Javier Sempere-Payá, Víctor TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks |
title | TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks |
title_full | TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks |
title_fullStr | TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks |
title_full_unstemmed | TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks |
title_short | TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks |
title_sort | tsch and rpl joining time model for industrial wireless sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201249/ https://www.ncbi.nlm.nih.gov/pubmed/34198793 http://dx.doi.org/10.3390/s21113904 |
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