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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wartenburger, Christian Dziengel, Norman Wittenburg, Georg Schiller, Jochen |
| Abstract | Event detection is a major issue for applications of wireless sensor networks. In order to detect an event, a sensor network has to identify which application-specific incident has occurred based on the raw data gathered by individual sensor nodes. In this context, an event may be anything from a malfunction of monitored machinery to an intrusion into a restricted area. The goal is to provide high-accuracy event detection at minimal energy cost in order to maximize network lifetime. In this paper, we present a system for collaborative event detection directly on the sensor nodes. The system does not require a base station for centralized coordination or processing, and is fully trainable to recognize different classes of application-specific events. Communication overhead is reduced to a minimum by processing raw data directly on the sensor nodes and only reporting which events have been detected. The detection accuracy is evaluated using a 100-node sensor network deployed as a wireless alarm system on the fence of a real-world construction site. |
| Starting Page | 94 |
| Ending Page | 104 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781605589886 |
| DOI | 10.1145/1791212.1791225 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-04-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Wireless sensor network In-network data processing Distributed event detection Pattern recognition |
| Content Type | Text |
| Resource Type | Article |
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