Cyber-Physical Systems (CPSs) represent a new generation of digital systems, where cyber entities and physical devices cooperate towards a set of common goals. The research presented in this paper aims to contribute to the development of CPSs by proposing an open architecture applicable in environmental monitoring, consisting of three layers. The paper provides a detailed description of each one of the CPS's main components. The bottom layer, composed of wireless sensor nodes, allows the acquisition of data and their transfer to the upper layers. The top and middle layers, composed of a measurements database, a knowledge base, a multi-agent society and web services, assure the proper operation of the CPS based on decision rules and complex data analyses. The proposed architecture provides a high degree of flexibility and scalability.

A cloud-based Cyber-Physical System for environmental monitoring / Sanislav, T.; Mois, G.; Folea, S.; Miclea, L.; Gambardella, Giulio; Prinetto, Paolo Ernesto. - STAMPA. - (2014), pp. 6-9. ((Intervento presentato al convegno 3rd Mediterranean Conference on Embedded Computing (MECO) tenutosi a Budva, ME nel 15-19 June 2014 [10.1109/MECO.2014.6862654].

A cloud-based Cyber-Physical System for environmental monitoring

GAMBARDELLA, GIULIO;PRINETTO, Paolo Ernesto
2014

Abstract

Cyber-Physical Systems (CPSs) represent a new generation of digital systems, where cyber entities and physical devices cooperate towards a set of common goals. The research presented in this paper aims to contribute to the development of CPSs by proposing an open architecture applicable in environmental monitoring, consisting of three layers. The paper provides a detailed description of each one of the CPS's main components. The bottom layer, composed of wireless sensor nodes, allows the acquisition of data and their transfer to the upper layers. The top and middle layers, composed of a measurements database, a knowledge base, a multi-agent society and web services, assure the proper operation of the CPS based on decision rules and complex data analyses. The proposed architecture provides a high degree of flexibility and scalability.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2572337
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