Pattern-based event detection in sensor networks |
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Authors: | Wenwei Xue Qiong Luo Hejun Wu |
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Affiliation: | (1) Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;(2) Department of Computer & Communication Engineering, University of Thessaly, Volos, Greece |
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Abstract: | Many applications of wireless sensor networks monitor the physical world and report events of interest. To facilitate event
detection in these applications, in this paper we propose a pattern-based event detection approach and integrate the approach
into an in-network sensor query processing framework. Different from existing threshold-based event detection, we abstract
events into patterns in sensory data and convert the problem of event detection into a pattern matching problem. We focus
on applying single-node temporal patterns, and define the general patterns as well as five types of basic patterns for event
specification. Considering the limited storage on sensor nodes, we design an on-node cache manager to maintain the historical
data required for pattern matching and develop event-driven processing techniques for queries in our framework. We have conducted
experiments using patterns for events that are extracted from real-world datasets. The results demonstrate the effectiveness
and efficiency of our approach. |
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Keywords: | |
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