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A configurable sensor platform for cloud-based IoT application scenarios

 
: Aragón, Gustavo; Reiners, René; Kemény, Zsolt

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Volltext (PDF; )

Barzen, J. ; Univ. Stuttgart; IBM Research Division, Cambridge/Mass.:
11th Advanced Summer School on Service Oriented Computing 2017. Proceedings : June 25 - June 30, 2017, Hersonissos, Crete, Greece
Cambridge/Mass.: IBM Research Division, 2017 (IBM Research Report)
S.49-52
Advanced Summer School on Service Oriented Computing (SummerSOC) <11, 2017, Hersonissos/Crete>
European Commission EC
H2020; 691829; EXCELL
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FIT ()
Sensor Platform; sensor management; wireless sensor network; semantic annotation; data management; energy management; flexible configuration; resuability; IoT application scenario

Abstract
This work presents the architecture of a sensor platform which is conceived as a sensor and data management system in IoT sensor networks. The main advantage of the platform is its flexibility regarding the design and management of sensor configurations. Sensor configurations are enriched by semantic annotations for fitting the sensor platform to specific application contexts. The sensor platform manages the connection with a variety of heterogeneous sensors, incorporates analytics and data persistence, energy management and allows the transmission of the information to middlewares or cloud computing systems. The sensor platform is designed to be integrated easily in different domains and was already successfully used in food tracking scenarios as well as in the field of ambient assisted living.

: http://publica.fraunhofer.de/dokumente/N-477685.html