Leveraging Information-Centric Edge Computing in Private 5G Cellular Networks via the W3C Web of Things

In this paper, we present an architecture for the deployment of an edge computing system based on Named Data Networking (NDN) as part of a private 5G network. Our proposed architecture integrates IP-based and non-IP-based components using the W3C Web of Things (WoT) standards, including a Thing Description Directory (TDD). Our results highlight the potential of both edge computing and WoT concepts for private 5G deployments but also reveal several standardization gaps that need to be closed to make effective use of the new technologies.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/ccnc54725.2025.10976001
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

Leveraging Information-Centric Edge Computing in Private 5G Cellular Networks via the W3C Web of Things

T M Rayhan Gias, Olaf Bergmann, Jan Romann, Hugo Hakim Damer
IoT and Edge/Fog Computing
article

Leveraging Information-Centric Edge Computing in Private 5G Cellular Networks via the W3C Web of Things

T M Rayhan Gias, Olaf Bergmann, Jan Romann, Hugo Hakim Damer
article en

Abstract

In this paper, we present an architecture for the deployment of an edge computing system based on Named Data Networking (NDN) as part of a private 5G network. Our proposed architecture integrates IP-based and non-IP-based components using the W3C Web of Things (WoT) standards, including a Thing Description Directory (TDD). Our results highlight the potential of both edge computing and WoT concepts for private 5G deployments but also reveal several standardization gaps that need to be closed to make effective use of the new technologies.

University of Applied Sciences Emden Leer (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 91%
IoT and Edge/Fog Computing
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Leveraging Information-Centric Edge Computing in Private 5G Cellular Networks via the W3C Web of Things — T M Rayhan Gias, Olaf Bergmann, et al. · (2025) | TGRS Research Map | TGRS