Barely Significant
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Temporal Data-Driven Sleep Scheduling and Spatial Data-Driven Anomaly Detection for Clustered Wireless Sensor Networks.

Sensors (Basel) · 2016 · PMC5087390 · PMID 27690035

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quite significantno p-value reported
In addition, spatial data-driven anomaly detection is quite significant for maintaining and improving the precision of sensor data. spatial–temporal correlation data-driven sleep scheduling data-driven anomaly detection WSN pmc-status-qastatus 0 pmc-status-live yes pmc-status-embargo no pmc-status-released yes pmc-prop-open-access yes pmc-prop-olf no pmc-prop-manuscript no pmc-prop-legally-suppressed no pmc-prop-has-pdf yes pmc-prop-has-supplement no pmc-prop-pdf-only no pmc-prop-suppress-copyright no pmc-prop-is-real-version no pmc-prop-is-scanned-article no pmc-prop-preprint no pmc-prop-in-epmc yes pmc-license-ref CC BY 1.

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