Advancing the Social Internet of Things (SIoT): Challenges, Innovations, and Future Perspectives

Mehdi Hosseinzadeh (), Venus Mohammadi, Jan Lansky () and Vladimir Nulicek
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Mehdi Hosseinzadeh: Pattern Recognition and Machine Learning Lab, Gachon University, 1342 Seongnamdaero, Sujeonggu, Seongnam 13120, Republic of Korea
Venus Mohammadi: Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
Jan Lansky: Department of Computer Science and Mathematics, Faculty of Economic Studies, University of Finance and Administration, 10100 Prague, Czech Republic
Vladimir Nulicek: Department of Computer Science and Mathematics, Faculty of Economic Studies, University of Finance and Administration, 10100 Prague, Czech Republic

Mathematics, 2024, vol. 12, issue 5, 1-21

Abstract: This study conducts an in-depth review of the Social Internet of Things (SIoT), a significant advancement from the conventional Internet of Things (IoT) via the integration of socialization principles akin to human interactions. We explore the architecture, trust management, relationship dynamics, and other crucial aspects of SIoT, with a particular focus on the relatively neglected areas of fault tolerance, cloud–fog computing, and clustering. Our systematic literature analysis, spanning research from 2011 to April 2023, uncovers critical gaps and establishes a detailed taxonomy of emerging SIoT themes. This paper not only sheds light on the current state of SIoT research but also charts a course for future exploration and development in this burgeoning field.

Keywords: social networks; Internet of Things (IoT); Social Internet of Things (SIoT); fault tolerance; cloud–fog computing; clustering; resilience and fault tolerance in SIoT (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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