In a disaster or generally in a critical event, the availability of innovative, space-based autonomous sensor network systems used as support for the “early warning" of the event, is strongly recommended. This paper deals with a discussion on behavioural development of such systems, devoted to improve the effectiveness of their "first response". It is envisioned how a suitable metrological characterization of sensors could be enhanced by a semantic characterization of raw data in order to enable logic-based inferences. The resulting system allows a robust improvement of performance and reliability with respect to competitor frameworks. Both ideas and approaches are now implementing in an off-the-shelf publisher/subscriber Message-Oriented Middleware named BEE-DDS in order to assess feasibility. Tests and experiments are underway.
Metrological Characterization and Semantic Annotation of Space-aided Distributed Sensor System for Hydrogeological Disaster Management / Andria, Gregorio; DI SCIASCIO, Eugenio; Lanzolla, Anna Maria Lucia; Ruta, Michele; Cacucci, Sabino. - (2016), pp. 1-8. (Intervento presentato al convegno Specialists Meeting on "Swarm Centric Solution for Intelligent Sensor Networks" (SET-222) tenutosi a Rome, Italy nel June 7-8, 2016).
Metrological Characterization and Semantic Annotation of Space-aided Distributed Sensor System for Hydrogeological Disaster Management
ANDRIA, Gregorio;DI SCIASCIO, Eugenio;LANZOLLA, Anna Maria Lucia;RUTA, Michele;
2016-01-01
Abstract
In a disaster or generally in a critical event, the availability of innovative, space-based autonomous sensor network systems used as support for the “early warning" of the event, is strongly recommended. This paper deals with a discussion on behavioural development of such systems, devoted to improve the effectiveness of their "first response". It is envisioned how a suitable metrological characterization of sensors could be enhanced by a semantic characterization of raw data in order to enable logic-based inferences. The resulting system allows a robust improvement of performance and reliability with respect to competitor frameworks. Both ideas and approaches are now implementing in an off-the-shelf publisher/subscriber Message-Oriented Middleware named BEE-DDS in order to assess feasibility. Tests and experiments are underway.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
