Intel Corporation

Shubhangi Rajasekhar

Mats Gustav Agerstam

Mateo Guzman

Sindhu Pandian

Pranav Sanghadia

Yatish Mishra

Troy Willes

Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

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Santa Clara, CA, United States of America

Shubhangi Rajasekhar