Due to the possibility of extensive and pervasive deployment of many tiny sensor devices in the area of interest, Wireless Sensor Networks (WSNs) result particularly suitable to detect significant events and to react accordingly in industrial and home scenarios. In this context, fuzzy inference systems for event detection in WSNs have proved to be accurate enough in treating imprecise sensory readings to decrease the number of false alarms. Besides reacting to event occurrences, the whole network may infer more information to enrich the event semantics resulting from reasoning processes carried out on the individual nodes. Contextual knowledge, including spatial and temporal relationships, as well as neighborhood confidence levels, can be used to improve the detection accuracy, but requires to extend the number of variables involved in the reasoning process.

Gaglio, S., Lo Re, G., Martorella, G., & Peri, D. (2016). A symbolic distributed event detection scheme for Wireless Sensor Networks. In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA (pp. 1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/ETFA.2016.7733685].

A symbolic distributed event detection scheme for Wireless Sensor Networks

GAGLIO, Salvatore
;
LO RE, Giuseppe
;
Martorella, Gloria
;
PERI, Daniele
2016

Abstract

Due to the possibility of extensive and pervasive deployment of many tiny sensor devices in the area of interest, Wireless Sensor Networks (WSNs) result particularly suitable to detect significant events and to react accordingly in industrial and home scenarios. In this context, fuzzy inference systems for event detection in WSNs have proved to be accurate enough in treating imprecise sensory readings to decrease the number of false alarms. Besides reacting to event occurrences, the whole network may infer more information to enrich the event semantics resulting from reasoning processes carried out on the individual nodes. Contextual knowledge, including spatial and temporal relationships, as well as neighborhood confidence levels, can be used to improve the detection accuracy, but requires to extend the number of variables involved in the reasoning process.
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
9781509013142
Gaglio, S., Lo Re, G., Martorella, G., & Peri, D. (2016). A symbolic distributed event detection scheme for Wireless Sensor Networks. In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA (pp. 1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/ETFA.2016.7733685].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/220030
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