A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3390/electronics11081281
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics11081281
- https://www.mdpi.com/2079-9292/11/8/1281/pdf?version=1650276148
- OA Status
- gold
- Cited By
- 7
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4224248529
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4224248529Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics11081281Digital Object Identifier
- Title
-
A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT ObjectsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-04-18Full publication date if available
- Authors
-
Rim Kilani, Ahmed Zouinkhi, Eddy Bajic, Mohamed Naceur AbdelkrimList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics11081281Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/11/8/1281/pdf?version=1650276148Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/11/8/1281/pdf?version=1650276148Direct OA link when available
- Concepts
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Computer science, Internet of Things, Smart objects, NetLogo, The Internet, Industrial Internet, Homogeneous, Service (business), Human–computer interaction, Data science, World Wide Web, Business, Mathematics, Combinatorics, Marketing, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2024: 2, 2023: 2, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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