Spatial anomaly detection in sensor networks using neighborhood information
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文摘

A method of neighborhood data fusion in decentralized anomaly detection is proposed.

The effects of neighborhood size and spatio-temporal correlation are explored.

Performance increases when the system is deployed in a correlated environment.

Fusing small neighborhoods is preferred over larger neighborhoods.

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