pubmed
Anomaly-based data reduction for energy-efficient edge computing in IoT with LoRa.
Karadas F; Usanmaz B
Edge computing helps IoT devices handle data close to where it's made, instead of sending it all to the cloud. This study shows that by using special methods to send only unusual data, we can save lots of energy and reduce the amount of data being sent. Using two methods called DBSCAN and Isolation Forest, we can cut down data and energy use by over 97%.
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