RetePAIoT of Emilia-Romagna region is an IoT Public Network, financed by Emilia- Romagna Region and developed by Lepida Scpa, where citizens, private companies and Public Administrations can integrate free of charge their own sensors of any type and anywhere in the region. The main objective of the project is to provide a facility to implement the IoT paradigm, receiving data potentially from thousands of different sensors from the territory and to make them available to their owners and, in aggregate or anonymous form, to Public Administrations for their institutional purposes. In this context the interpretation of payloads sent by sensors, i.e. the extraction of the values measured by sensors, as well sharing them with all authorized subjects. are fundamental aspects that present a significant complexity due to the variety and unplannable context of the project. This paper illustrates the model and the architecture of a solution for the automatic extraction of values potentially coming from thousands of different sensors, which therefore requires a high level of flexibility, robustness and scalability as well as different methods for sharing them with third parties, depending on purposes and technical level required.
From Sensors to Data: Model and Architecture of an IoT Public Network
Nanni, Stefania;Mazzini, Gianluca
2024
Abstract
RetePAIoT of Emilia-Romagna region is an IoT Public Network, financed by Emilia- Romagna Region and developed by Lepida Scpa, where citizens, private companies and Public Administrations can integrate free of charge their own sensors of any type and anywhere in the region. The main objective of the project is to provide a facility to implement the IoT paradigm, receiving data potentially from thousands of different sensors from the territory and to make them available to their owners and, in aggregate or anonymous form, to Public Administrations for their institutional purposes. In this context the interpretation of payloads sent by sensors, i.e. the extraction of the values measured by sensors, as well sharing them with all authorized subjects. are fundamental aspects that present a significant complexity due to the variety and unplannable context of the project. This paper illustrates the model and the architecture of a solution for the automatic extraction of values potentially coming from thousands of different sensors, which therefore requires a high level of flexibility, robustness and scalability as well as different methods for sharing them with third parties, depending on purposes and technical level required.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
