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Future Internet
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Social Internet of Things (SIoT)
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Social Internet of Things (SIoT)

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 6830

Special Issue Editors

Prof. Dr. Domenico Ursino

E-Mail Website
Guest Editor
Department of Information Engineering, Polytechnic University of Marche, 60121 Ancona, Italy
Interests: social network analysis; databases; artificial intelligence; business intelligence; social IoT
Special Issues, Collections and Topics in MDPI journals
Dr. Francesco Cauteruccio

E-Mail Website
Guest Editor
Department of Information Engineering, Polytechnic University of Marche, 60121 Ancona, Italy
Interests: social and complex network analysis; hypernetwork and network science; Internet of Things; advanced algorithms for sequences comparison; pattern mining; logic programming; data science
Special Issues, Collections and Topics in MDPI journals
Dr. Luca Virgili

E-Mail Website
Guest Editor
Department of Information Engineering, Polytechnic University of Marche, 60121 Ancona, Italy
Interests: big data analytics; social network analysis; deep learning; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Social Internet of Things (SIoT) paradigm is a very promising interdisciplinary research and application field. It derives from the integration of concepts, ideas, and approaches coming from social networking and the Internet of Things. It can become one of the leading technologies of Society 5.0, similarly to how the IoT has been for Industry 4.0. Indeed, currently, a large amount of other relationships among smart objects can be considered. This great variety and variability, along with the pervasive development of the IoT, poses new challenges to address for academy, industry, and standards bodies. On the other hand, adding more and more semantics to smart objects can enable them to perform tasks and activities that would have been unimaginable until recently. Despite the important results already obtained, the SIoT paradigm, as well as the most recent ones derived from it such as the MIoT (Multi-IoT paradigm), are still in their early stage. To enable the paradigm to reach its full potential, the contribution of disparate research fields (e.g., social network analysis, semantic web, fuzzy logic, Industry 4.0, Society 5.0, big data, smart data analytics, machine learning, deep learning, cybersecurity, distributed computing and cloud, eco-sustainable systems, and human-centered systems, just to cite a few) is compulsory.

Prof. Dr. Domenico Ursino
Dr. Francesco Cauteruccio
Dr. Luca Virgili
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • new architectures for the SIoT
  • multi-IoT paradigm
  • information Integration in the SIoT
  • multiple Networks of Things
  • knowledge Management in the SIoT
  • data Analytics in the SIoT
  • cybersecurity in the SIoT
  • trust and reputation of smart objects
  • SIoT and Industry 4.0
  • SIoT and Society 5.0
  • SIoT and distributed computing
  • SIoT and cloud
  • smart object profiling
  • SIoT and healthcare
  • SIoT and cultural heritage
  • SIoT and agriculture
  • SIoT and manufacturing
  • SIoT and automation
  • SIoT in mechatronic
  • SIoT and crowdsensing
  • SIoT and smart cities
  • SIoT and autonomous driving systems
  • legal Issues for the SIoT

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Published Papers (3 papers)

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25 pages, 2396 KiB  
Article
Internet of Conscious Things: Ontology-Based Social Capabilities for Smart Objects
by Michele Ruta, Floriano Scioscia, Giuseppe Loseto, Agnese Pinto, Corrado Fasciano, Giovanna Capurso and Eugenio Di Sciascio
Future Internet 2024, 16(9), 327; https://doi.org/10.3390/fi16090327 - 8 Sep 2024
Viewed by 769
Abstract
Emerging distributed intelligence paradigms for the Internet of Things (IoT) call for flexible and dynamic reconfiguration of elementary services, resources and devices. In order to achieve such capability, this paper faces complex interoperability and autonomous decision problems by proposing a thorough framework based [...] Read more.
Emerging distributed intelligence paradigms for the Internet of Things (IoT) call for flexible and dynamic reconfiguration of elementary services, resources and devices. In order to achieve such capability, this paper faces complex interoperability and autonomous decision problems by proposing a thorough framework based on the integration of the Semantic Web of Things (SWoT) and Social Internet of Things (SIoT) paradigms. SWoT enables low-power knowledge representation and autonomous reasoning at the edge of the network through carefully optimized inference services and engines. This layer provides service/resource management and discovery primitives for a decentralized collaborative social protocol in the IoT, based on the Linked Data Notifications(LDN) over Linked Data Platform on Constrained Application Protocol (LDP-CoAP). The creation and evolution of friend and follower relationships between pairs of devices is regulated by means of novel dynamic models assessing trust as a usefulness reputation score. The close SWoT-SIoT integration overcomes the functional limitations of existing proposals, which focus on either social device or semantic resource management only. A smart mobility case study on Plug-in Electric Vehicles (PEVs) illustrates the benefits of the proposal in pervasive collaborative scenarios, while experiments show the computational sustainability of the dynamic relationship management approach. Full article
(This article belongs to the Special Issue Social Internet of Things (SIoT))
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20 pages, 814 KiB  
Article
Reconfigurable-Intelligent-Surface-Enhanced Dynamic Resource Allocation for the Social Internet of Electric Vehicle Charging Networks with Causal-Structure-Based Reinforcement Learning
by Yuzhu Zhang and Hao Xu
Future Internet 2024, 16(5), 165; https://doi.org/10.3390/fi16050165 - 11 May 2024
Cited by 1 | Viewed by 1352
Abstract
Charging stations and electric vehicle (EV) charging networks signify a significant advancement in technology as a frontier application of the Social Internet of Things (SIoT), presenting both challenges and opportunities for current 6G wireless networks. One primary challenge in this integration is limited [...] Read more.
Charging stations and electric vehicle (EV) charging networks signify a significant advancement in technology as a frontier application of the Social Internet of Things (SIoT), presenting both challenges and opportunities for current 6G wireless networks. One primary challenge in this integration is limited wireless network resources, particularly when serving a large number of users within distributed EV charging networks in the SIoT. Factors such as congestion during EV travel, varying EV user preferences, and uncertainties in decision-making regarding charging station resources significantly impact system operation and network resource allocation. To address these challenges, this paper develops a novel framework harnessing the potential of emerging technologies, specifically reconfigurable intelligent surfaces (RISs) and causal-structure-enhanced asynchronous advantage actor–critic (A3C) reinforcement learning techniques. This framework aims to optimize resource allocation, thereby enhancing communication support within EV charging networks. Through the integration of RIS technology, which enables control over electromagnetic waves, and the application of causal reinforcement learning algorithms, the framework dynamically adjusts resource allocation strategies to accommodate evolving conditions in EV charging networks. An essential aspect of this framework is its ability to simultaneously meet real-world social requirements, such as ensuring efficient utilization of network resources. Numerical simulation results validate the effectiveness and adaptability of this approach in improving wireless network efficiency and enhancing user experience within the SIoT context. Through these simulations, it becomes evident that the developed framework offers promising solutions to the challenges posed by integrating the SIoT with EV charging networks. Full article
(This article belongs to the Special Issue Social Internet of Things (SIoT))
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18 pages, 3483 KiB  
Article
Digital Communication and Social Organizations: An Evaluation of the Communication Strategies of the Most-Valued NGOs Worldwide
by Andrea Moreno-Cabanillas, Elizabet Castillero-Ostio and Antonio Castillo-Esparcia
Future Internet 2024, 16(1), 26; https://doi.org/10.3390/fi16010026 - 13 Jan 2024
Viewed by 3129
Abstract
The communication of organizations with their audiences has undergone changes thanks to the Internet. Non-Governmental Organizations (NGOs), as influential groups, are no exception, as much of their activism takes place through grassroots digital lobbying. The consolidation of Web 2.0 has not only provided [...] Read more.
The communication of organizations with their audiences has undergone changes thanks to the Internet. Non-Governmental Organizations (NGOs), as influential groups, are no exception, as much of their activism takes place through grassroots digital lobbying. The consolidation of Web 2.0 has not only provided social organizations with a new and powerful tool for disseminating information but also brought about significant changes in the relationship between nonprofit organizations and their diverse audiences. This has facilitated and improved interaction between them. The purpose of this article is to analyze the level of interactivity implemented on the websites of leading NGOs worldwide and their presence on social networks, with the aim of assessing whether these influential groups are moving towards more dialogic systems in relation to their audience. The results reveal that NGOs have a high degree of interactivity in the tools used to present and disseminate information on their websites. However, not all maintain the same level of interactivity in the resources available for interaction with Internet users, as very few have high interactivity regarding bidirectional resources. It was concluded that international non-governmental organizations still suffer from certain shortcomings in the strategic management of digital communication on their web platforms, while, on the other hand, a strong presence can be noted on the most-popular social networks. Full article
(This article belongs to the Special Issue Social Internet of Things (SIoT))
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