Adaptive and online data anomaly detection for wireless sensor systems
Wireless sensor networks (WSNs) are increasingly used as platforms for collecting data from unattended environments and monitoring important events in phenomena. However, sensor data is affected by anomalies that occur due to various reasons, such as, node software or hardware failures, reading erro...
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| Main Authors: | , , |
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| 格式: | Article |
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Elsevier B.V.
2014
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| 在線閱讀: | http://eprints.utm.my/id/eprint/51718/ http://dx.doi.org/10.1016/j.knosys.2014.01.003 |
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