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A faceted discovery model architecture for Cyber-Physical Systems in the Web of Things

Juan Alberto Llopis¹, Manel Mena¹, Javier Criado¹, Luis Iribarne¹ and Antonio Corral¹

1. Applied Computing Group (TIC-211), University of Almerı́a Almerı́a
   Spain
   {jalbertollopis, manel.mena, javi.criado, luis.iribarne, acorral}@ual.es

Abstract

A Cyber-Physical System is a set of heterogeneous devices that integrates computational and digital capabilities with their physical system. As technology evolves to facilitate human tasks, more complex Cyber-Physical Systems are being developed, even integrating them with web technologies (Web of Things), e.g., in the context of the Web of Things, supporting smart city scenarios with thousands of devices available to be discovered online. In these complex solutions, some capabilities related to locating, registering, and consulting devices must be provided to adapt to the continuous changes in Cyber-Physical Systems. Suitable capabilities could be using natural language queries, automatically describing and discovering new devices, or locating devices in different subsystems. This paper 1 proposes a discovery model architecture for Cyber-Physical Systems based on the Web of Things, including proactive discovery, recommendation, federation, and query expansion. In an example scenario, the proposed architecture has been implemented with different topologies using Edge Computing facilities to interact and manage Cyber-Physical Systems. The results show that the capabilities of the discovery model architecture facilitate the discovery of CPSs in different smart environments.

Key words

Discovery Model, Web of Things, Cyber-Physical Systems, WoT Lab

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS230328049L

Publication information

Volume 20, Issue 4 (September 2023)
Year of Publication: 2023
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

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How to cite

Llopis, J. A., Mena, M., Criado, J., Iribarne, L., Corral, A.: A faceted discovery model architecture for Cyber-Physical Systems in the Web of Things. Computer Science and Information Systems, Vol. 20, No. 4. (2023), https://doi.org/10.2298/CSIS230328049L