Methods and apparatus to trigger calibration of a sensor node using machine learning

US11169239B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Yatish Mishra · Tempe, US
• Mats Agerstam · Portland, US
• Mateo Guzman · Beaverton, US
• Sindhu Pandian · Hillsboro, US
• Shubhangi Rajasekhar · Santa Clara, US
• Pranav Sanghadia · Chandler, US
• Troy Willes · Santa Clara, US

Key dates

• Filing date: Sep 28, 2018
• Grant date: Nov 9, 2021
• Expiry date: Oct 4, 2039

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L67/12
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

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.