Providing data from sensor node based on data sufficiency logic

A system comprising:

• one or more processors;
• and
• one or more memories storing contents executable by the one or more processors to:
• obtain a data window via a sensor node;
• extract a plurality of features of the data window;
• provide the plurality of features to a first classifier and a second classifier;
• receive a first classification and a second classification of the data window via the first classifier and the second classifier, respectively;
• determine that the first classification and the second classification do not agree;
• and
• in response to determining that the first classification and the second classification do not agree, provide the data window to a computing device to be used to train a classifier to be implemented at the sensor node.

One or more non-transitory computer-readable media storing contents executable by one or more processors to perform actions, the actions comprising:

• obtaining a data window;
• extracting a plurality of features of the data window;
• providing the plurality of features to a first classifier and a second classifier;
• receiving a first classification and a second classification of the data window via the first classifier and the second classifier, respectively;
• determining that the first classification and second classification disagree;
• and
• providing the data window to a computing device based on determining that the first classification and the second classification disagree.