A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects

The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social netwo...

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Main Authors: Rim Kilani, Ahmed Zouinkhi, Eddy Bajic, Mohamed Naceur Abdelkrim
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/8/1281
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author Rim Kilani
Ahmed Zouinkhi
Eddy Bajic
Mohamed Naceur Abdelkrim
author_facet Rim Kilani
Ahmed Zouinkhi
Eddy Bajic
Mohamed Naceur Abdelkrim
author_sort Rim Kilani
collection DOAJ
description The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment.
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spelling doaj.art-895c82eeffac40d991b987f48039688b2023-11-30T21:02:34ZengMDPI AGElectronics2079-92922022-04-01118128110.3390/electronics11081281A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT ObjectsRim Kilani0Ahmed Zouinkhi1Eddy Bajic2Mohamed Naceur Abdelkrim3MACS Laboratory LR 16ES22, National Engineering School of Gabes, University of Gabes, Omar ibn Elkhattab Street, Zrig Eddakhlania 6029, TunisiaMACS Laboratory LR 16ES22, National Engineering School of Gabes, University of Gabes, Omar ibn Elkhattab Street, Zrig Eddakhlania 6029, TunisiaResearch Centre for Automatic Control CRAN-CNRS 7039, Université de Lorraine, 54000 Nancy, FranceMACS Laboratory LR 16ES22, National Engineering School of Gabes, University of Gabes, Omar ibn Elkhattab Street, Zrig Eddakhlania 6029, TunisiaThe concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment.https://www.mdpi.com/2079-9292/11/8/1281Internet of ThingsSocial Internet of Industrial Thingssocialized industrial communicating objectsocial community
spellingShingle Rim Kilani
Ahmed Zouinkhi
Eddy Bajic
Mohamed Naceur Abdelkrim
A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects
Electronics
Internet of Things
Social Internet of Industrial Things
socialized industrial communicating object
social community
title A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects
title_full A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects
title_fullStr A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects
title_full_unstemmed A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects
title_short A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects
title_sort socio inspired methodology and model for advanced and opportunistic interactions between industrial iot objects
topic Internet of Things
Social Internet of Industrial Things
socialized industrial communicating object
social community
url https://www.mdpi.com/2079-9292/11/8/1281
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