A disruptive M2M social paradigm for Industry 4.0
Autor: | Eddy Bajic, Ahmed Zouinkhi, Rim Kilani, Mohamed Naceur Abdelkrim |
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Rok vydání: | 2020 |
Předmět: |
021110 strategic
defence & security studies Industry 4.0 Computer science Emerging technologies 05 social sciences Interoperability 0211 other engineering and technologies 0507 social and economic geography 02 engineering and technology 050701 cultural studies Data science Social relation Social internet of things Confidentiality |
Zdroj: | 2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). |
DOI: | 10.1109/sta50679.2020.9329315 |
Popis: | Machine-to-Machine (M2M) is one of the emerging technologies that has caught the attention of many researchers. The heterogeneous connected objects, constrained by interoperability, security and confidentiality issues, is driving the emergence of the concept of the Social Internet of Things (SIoT). The latter consists of providing semi-autonomous communicating objects (CO) with interaction capacities inspired by human social relations. The SIoT concept contributes to the evolution of interaction between industrial objects, by improving deterministic mechanisms towards intelligent interactions. We propose a new concept of M2M interactions inspired by social paradigms. These paradigms are deduced from a synthesis of several sociological approaches. |
Databáze: | OpenAIRE |
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