Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s10619-011-7087-6 | Distributed and Parallel Databases |
Keywords | DocType | Volume |
Sensor networks,Event detection,Pattern matching,Query processing,Data compression | Journal | 30 |
Issue | ISSN | Citations |
1 | 0926-8782 | 8 |
PageRank | References | Authors |
0.72 | 27 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenwei Xue | 1 | 330 | 18.68 |
| Qiong Luo | 2 | 3617 | 229.67 |
| Hejun Wu | 3 | 242 | 23.03 |