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Conference Paper
Outlier Detection in Wireless Sensor Networks Using Trend Pattern
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- Authors
- Kwangsoo Kim, Marie Kim, Seong-Il Jin
- Issue Date
- 2015-01
- Citation
- International Conference on Electronics, Information and Communication (ICEIC) 2015, pp.558-559
- Language
- English
- Type
- Conference Paper
- Abstract
- A diverse set of applications using Wireless Sensor Networks have been implemented in over the past decade years. It is important to detect data outliers to increase the reliability of a system using the networks. This paper proposes a novel method to detect abnormal sensing values. The method uses the fact that sensing values generated in a factory or a building are repeated daily according to its operation. We use the trend of sensing values. This method detects the outliers whose values are changed slightly.
- KSP Keywords
- Trend pattern, Wireless sensor networks(WSNs), novel method, outlier detection