Hyperspherical cluster based distributed anomaly detection in wireless sensor networks
Rajasegarar, Sutharshan, Leckie, Christopher and Palaniswami, Marimuthu 2014, Hyperspherical cluster based distributed anomaly detection in wireless sensor networks, Journal of parallel and distributed computing, vol. 74, no. 1, pp. 1833-1847, doi: 10.1016/j.jpdc.2013.09.005.
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Hyperspherical cluster based distributed anomaly detection in wireless sensor networks
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. .
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