Abstract
Wireless Sensor Network (WSN) deployment experiences show that data collected is prone to be imprecise and faulty due to internal and external influences, such as battery drain, environmental interference, sensor aging. An early detection of such faults is necessary for the effective operation of the sensor network. In this preliminary work, we propose a hybrid approach to the detection of faults and we illustrate its performance on data coming from a real sensor deployment. The proposal is a first step to have a hybrid method towards automated on-line fault detection and classification in context-aware WSNs middleware framework.
Original language | English |
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Title of host publication | IPSN'12 |
Subtitle of host publication | proceedings of the 11th international conference on Information Processing in Sensor Networks |
Place of Publication | USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 87-88 |
Number of pages | 2 |
ISBN (Electronic) | 9781479964697 |
ISBN (Print) | 9781450312271 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12 - Beijing, China Duration: 16 Apr 2012 → 20 Apr 2012 |
Other
Other | 11th ACM/IEEE Conference on Information Processing in Sensing Networks, IPSN'12 |
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Country/Territory | China |
City | Beijing |
Period | 16/04/12 → 20/04/12 |
Keywords
- Data & system faults
- Hybrid fault detection