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-...

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Main Authors: Jose Vera-Pérez, Javier Silvestre-Blanes, Víctor Sempere-Payá
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/11/3904
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author Jose Vera-Pérez
Javier Silvestre-Blanes
Víctor Sempere-Payá
author_facet Jose Vera-Pérez
Javier Silvestre-Blanes
Víctor Sempere-Payá
author_sort Jose Vera-Pérez
collection DOAJ
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.
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spelling doaj.art-1e0223d210f242a3b7a8e27065c2ab792023-11-21T22:55:25ZengMDPI AGSensors1424-82202021-06-012111390410.3390/s21113904TSCH and RPL Joining Time Model for Industrial Wireless Sensor NetworksJose Vera-Pérez0Javier Silvestre-Blanes1Víctor Sempere-Payá2Instituto Tecnológico de Informática, 46022 Valencia, SpainITI and Departamento de Informática de Sistemas y Computadores (DISCA), Universitat Politècnica de València (UPV), 03801 Alcoy, SpainITI and Departamento de Comunicaciones (DCOM), Universitat Politècnica de València (UPV), 46022 Valencia, SpainWireless 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.https://www.mdpi.com/1424-8220/21/11/3904WSNindustrial internet of thingssynchronizationTSCHRPL
spellingShingle Jose Vera-Pérez
Javier Silvestre-Blanes
Víctor Sempere-Payá
TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks
Sensors
WSN
industrial internet of things
synchronization
TSCH
RPL
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 WSN
industrial internet of things
synchronization
TSCH
RPL
url https://www.mdpi.com/1424-8220/21/11/3904
work_keys_str_mv AT joseveraperez tschandrpljoiningtimemodelforindustrialwirelesssensornetworks
AT javiersilvestreblanes tschandrpljoiningtimemodelforindustrialwirelesssensornetworks
AT victorsemperepaya tschandrpljoiningtimemodelforindustrialwirelesssensornetworks