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Spatial anomaly detection in sensor networks using neighborhood information

Bosman, H.H.W.J.; Iacca, G.; Tejada, A.; Wörtche, H.J. (Sensors And Smart Systems); Liotta, A.

2017AlgemeenArtikel

Ensembles of incremental learners to detect anomalies in ad hoc sensor networks

Bosman, H.H.W.J.; Iacca, G.; Tejada, A.; Wörtche, H.J. (Sensors And Smart Systems); Liotta, A.

2015AlgemeenArtikel

Real-time magnetic dipole detection with single particle optimization

G. Iacca, F. Bakker; Wörtche, H. (Sensors And Smart Systems)

2014AlgemeenArtikel

Online extreme learning on fixed-point sensor networks

Bosman, H.H.W.J.; Liotta, A; Iacca, G; Wörtche, H.J. (Sensors And Smart Systems)

Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN). Efficient anomaly detection algorithms can be devised performing online node-local computations and reducing communication overhead, thus improving the use of the limited hardware …

2013-12-01AlgemeenConferentiebijdrage

Anomaly detection in sensor systems using lightweight machine learning

Bosman, H.H.W.J.; Liotta, A; Iacca, G; Wörtche, H.J. (Sensors And Smart Systems)

The maturing field of Wireless Sensor Networks (WSN) results in long-lived deployments that produce large amounts of sensor data. Lightweight online on-mote processing may improve the usage of their limited resources, such as energy, by transmitting only unexpected sensor data (anomalies). We detect …

2013-10-01AlgemeenConferentiebijdrage

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Spatial anomaly detection in sensor networks using neighborhood information

Ensembles of incremental learners to detect anomalies in ad hoc sensor networks

Real-time magnetic dipole detection with single particle optimization

Online extreme learning on fixed-point sensor networks

Anomaly detection in sensor systems using lightweight machine learning

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