IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v15y2023i6p207-d1165001.html
   My bibliography  Save this article

S2NetM: A Semantic Social Network of Things Middleware for Developing Smart and Collaborative IoT-Based Solutions

Author

Listed:
  • Antonios Pliatsios

    (Information and Communication Systems Engineering Department, University of the Aegean, GR83200 Samos, Greece)

  • Dimitrios Lymperis

    (Information and Communication Systems Engineering Department, University of the Aegean, GR83200 Samos, Greece)

  • Christos Goumopoulos

    (Information and Communication Systems Engineering Department, University of the Aegean, GR83200 Samos, Greece)

Abstract

The Social Internet of Things (SIoT) paradigm combines the benefits of social networks with IoT networks to create more collaborative and efficient systems, offering enhanced scalability, better navigability, flexibility, and dynamic decision making. However, SIoT also presents challenges related to dynamic friendship selection, privacy and security, interoperability, and standardization. To fully unlock the potential of SIoT, it is crucial to establish semantic interoperability between the various entities, applications, and networks that comprise the system. This paper introduces the Semantic Social Network of Things Middleware (S2NetM), which leverages social relationships to enhance semantic interoperability in SIoT systems. The S2NetM employs semantic reasoning and alignment techniques to facilitate the creation of dynamic, context-aware social networks of things that can collaboratively work together and enable new opportunities for IoT-based solutions. The main contributions of this paper are the specification of the S2NetM and the associated ontology, as well as the discussion of a case study demonstrating the effectiveness of the proposed solution.

Suggested Citation

  • Antonios Pliatsios & Dimitrios Lymperis & Christos Goumopoulos, 2023. "S2NetM: A Semantic Social Network of Things Middleware for Developing Smart and Collaborative IoT-Based Solutions," Future Internet, MDPI, vol. 15(6), pages 1-27, June.
  • Handle: RePEc:gam:jftint:v:15:y:2023:i:6:p:207-:d:1165001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/15/6/207/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/15/6/207/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alaa Omran Almagrabi & Yasser D. Al-Otaibi, 2020. "A Survey of Context-Aware Messaging-Addressing for Sustainable Internet of Things (IoT)," Sustainability, MDPI, vol. 12(10), pages 1-26, May.
    2. Abderrahim Zannou & Abdelhak Boulaalam & El Habib Nfaoui, 2020. "SIoT: A New Strategy to Improve the Network Lifetime with an Efficient Search Process," Future Internet, MDPI, vol. 13(1), pages 1-23, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mahmoud Elkhodr & Samiya Khan & Ergun Gide, 2024. "A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness," Future Internet, MDPI, vol. 16(1), pages 1-31, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdelghani Dahou & Samia Allaoua Chelloug & Mai Alduailij & Mohamed Abd Elaziz, 2023. "Improved Feature Selection Based on Chaos Game Optimization for Social Internet of Things with a Novel Deep Learning Model," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    2. Soukaina Bouarourou & Abderrahim Zannou & El Habib Nfaoui & Abdelhak Boulaalam, 2023. "An Efficient Model-Based Clustering via Joint Multiple Sink Placement for WSNs," Future Internet, MDPI, vol. 15(2), pages 1-27, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:15:y:2023:i:6:p:207-:d:1165001. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.