Escalation: complex event detection in wireless sensor networks

Zoumboulakis, M. and Roussos, George (2007) Escalation: complex event detection in wireless sensor networks. In: Kortuem, G. and Finney, J. and Lea, R. and Sundramoorthy, V. (eds.) EuroSSC 2007: Smart Sensing and Context. Lecture Notes in Computer Science. Springer, pp. 270-285. ISBN 9783540756958.

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Official URL: https://doi.org/10.1007/978-3-540-75696-5_17

Abstract

We present a new approach for the detection of complex events in Wireless Sensor Networks. Complex events are sets of data points that correspond to interesting or unusual patterns in the underlying phenomenon that the network monitors. Our approach is inspired from time-series data mining techniques and transforms a stream of real-valued sensor readings into a symbolic representation. Complex event detection is then performed using distance metrics, allowing us to detect events that are difficult or even impossible to describe using traditional declarative SQL-like languages and thresholds. We have tested our approach with four distinct data sets and the experimental results were encouraging in all cases. We have implemented our approach for the TinyOS and Contiki Operating Systems, for the Sky mote platform.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	11 Oct 2021 15:11
Last Modified:	09 Aug 2023 12:52
URI:	https://eprints.bbk.ac.uk/id/eprint/46254

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