Outlier Detection Techniques for Wireless Sensor Networks: A Survey
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Abstract
In the field of wireless sensor networks, those measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to wireless sensor networks due to the nature of sensor data and specific requirements and limitations of the wireless sensor networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the wireless sensor networks. Additionally, it presents a technique-based taxonomy and a comparative table to be used as a guideline to…
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3Topics & keywords
Topics
Keywords
- Wireless sensor network
- Computer science
- Outlier
- Anomaly detection
- Data mining
- Key distribution in wireless sensor networks
- Wireless network
- Mobile wireless sensor network
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