The growing use of sensors in smart environments applications like smart homes, hospitals, public transportation, emergency services, education, and workplaces not only generates constantly increasing of sensor data, but also rises the complexity of integration of heterogeneous data and hardware devices. In order to get more accurate and consistent information on real world events, heterogeneous sensor data should be normalized. The paper proposes a set of architectural abstractions aimed at representing sensors' measurements that are independent from the sensors' technology. Such a set can reduce the effort for data fusion and interpretation. The abstractions allow to represent raw sensor readings by means of spatio-temporal contextualized events.

Fanelli, A., Micucci, D., Mobilio, M., Tisato, F. (2015). Spatio-Temporal normalization of data from heterogeneous sensors. In Proceedings of the 10th International Conference on Software Engineering and Applications (Part of 10th International Joint Conference on Software Technologies, ICSOFT) - EA 2015. Colmar, Alsace; France; 20-22 July 2015 (pp.462-467). SciTePress [10.5220/0005559504620467].

Spatio-Temporal normalization of data from heterogeneous sensors

MICUCCI, DANIELA
Secondo
;
MOBILIO, MARCO
Penultimo
;
TISATO, FRANCESCO
Ultimo
2015

Abstract

The growing use of sensors in smart environments applications like smart homes, hospitals, public transportation, emergency services, education, and workplaces not only generates constantly increasing of sensor data, but also rises the complexity of integration of heterogeneous data and hardware devices. In order to get more accurate and consistent information on real world events, heterogeneous sensor data should be normalized. The paper proposes a set of architectural abstractions aimed at representing sensors' measurements that are independent from the sensors' technology. Such a set can reduce the effort for data fusion and interpretation. The abstractions allow to represent raw sensor readings by means of spatio-temporal contextualized events.
No
paper
Sensor Heterogeneity, Modularisation, Software Architecture, Knowledge Representation
English
International Conference on Software Technologies (ICSOFT)
9789897581144
Fanelli, A., Micucci, D., Mobilio, M., Tisato, F. (2015). Spatio-Temporal normalization of data from heterogeneous sensors. In Proceedings of the 10th International Conference on Software Engineering and Applications (Part of 10th International Joint Conference on Software Technologies, ICSOFT) - EA 2015. Colmar, Alsace; France; 20-22 July 2015 (pp.462-467). SciTePress [10.5220/0005559504620467].
Fanelli, A; Micucci, D; Mobilio, M; Tisato, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/132426
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