Hyperspherical cluster based distributed anomaly detection in wireless sensor networks

详细信息    查看全文

• 作者：Sutharshan Rajasegarar ; Christopher Leckie ; Marimuthu Palaniswami
• 关键词：Distributed processing ; Wireless sensor networks ; Anomaly detection
• 刊名：Journal of Parallel and Distributed Computing
• 出版年：January, 2014
• 年：2014
• 卷：74
• 期：1
• 页码：1833-1847
• 全文大小：3161 K

文摘

This article describes a distributed hyperspherical cluster based algorithm for identifying anomalies in measurements from a wireless sensor network, and an implementation on a real wireless sensor network testbed. The communication overhead incurred in the network is minimised by clustering sensor measurements and merging clusters before sending a compact description of the clusters to other nodes. An evaluation on several real and synthetic datasets demonstrates that the distributed hyperspherical cluster-based scheme achieves comparable detection accuracy with a significant reduction in communication overhead compared to a centralised scheme, where all the sensor node measurements are communicated to a central node for processing.