Standardised interworking and deployment of IoT and edge computing platforms

Edge computing is swiftly gaining traction and is being standardised by the European Telecommunications Standards Institute (ETSI) as Multi-access Edge Computing (MEC). Simultaneously, oneM2M has been actively developing standards for dynamic data management and IoT services at the edge, particularly for applications that require real-time support and security. Integrating MEC and oneM2M offers a unique opportunity to maximize their individual strengths. Therefore, this article proposes a framework that integrates MEC and oneM2M standard platforms for IoT applications, demonstrating how the synergy of these architectures can leverage the geographically distributed computing resources at base stations, enabling efficient deployment and added value for time-sensitive IoT applications. In addition, this study offers a concept of potential interworking models between oneM2M and the MEC architectures. The adoption of these standard architectures can enable various IoT edge services, such as smart city mobility and real-time analytics functions, by leveraging the oneM2M common service layer instantiated on the MEC host.

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Institutions

Publication Details

Journal
Digital Communications and Networks
Published
2025-05-02
DOI
https://doi.org/10.1016/j.dcan.2025.04.006
Citations
2
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
2.97
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article

Standardised interworking and deployment of IoT and edge computing platforms

Seong Ki Yoo, JaeSeung Song, Tarik Taleb, Jieun Lee et al.
2 citations
Digital Communications and Networks
IoT and Edge/Fog Computing
2.97
article

Standardised interworking and deployment of IoT and edge computing platforms

Seong Ki Yoo, JaeSeung Song, Tarik Taleb, Jieun Lee, Jung Ho Kim
article en
2 citations

Abstract

Edge computing is swiftly gaining traction and is being standardised by the European Telecommunications Standards Institute (ETSI) as Multi-access Edge Computing (MEC). Simultaneously, oneM2M has been actively developing standards for dynamic data management and IoT services at the edge, particularly for applications that require real-time support and security. Integrating MEC and oneM2M offers a unique opportunity to maximize their individual strengths. Therefore, this article proposes a framework that integrates MEC and oneM2M standard platforms for IoT applications, demonstrating how the synergy of these architectures can leverage the geographically distributed computing resources at base stations, enabling efficient deployment and added value for time-sensitive IoT applications. In addition, this study offers a concept of potential interworking models between oneM2M and the MEC architectures. The adoption of these standard architectures can enable various IoT edge services, such as smart city mobility and real-time analytics functions, by leveraging the oneM2M common service layer instantiated on the MEC host.

Digital Communications and NetworksVol. 11(5)
Sejong University (KR), Coventry University (GB), Ruhr University Bochum (DE)
Openalex Percentile: Top 9%
IoT and Edge/Fog Computing
2.97
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