Yang_Zhang_Outlier_detection_techniques_for_wireless_sensor_networks

In the ¯eld of wireless sensor networks, measurements that signi¯cantly 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 multivariate nature of sensor data and speci¯c requirements and limitations of the wireless sensor networks. This survey provides a comprehensive overview of existing outlie r detection techniques speci¯cally developed for the wireless sensor networks. Additionally, it presents a technique-based taxonomy and a decision tree to be used as a guideline to select a technique suitable for