A Dynamic Uncertainty Protocol for Digital Sensor Networks

Published

November 1, 2021

Author(s)

Michael Gaitan, Richard A. Allen, Jon Geist, Akobuije Chijioke

Abstract

We propose a concept of the use of dynamic uncertainty to improve the accuracy and robustness of digital sensor networks. The digital smart transducer is integrated with a microcontroller that reads the binary data from the calibrated sensor, performs an analysis to determine the measurand and its instantaneous uncertainty, and communicates these values in SI units with a time stamp to the host computer. We postulate that communicating the measurement with its uncertainty from the sensor node could eliminate the need for the host computer to maintain a database of the sensor models and performance parameters while at the same time improving accuracy and maintainability. We demonstrate this protocol using calibrated triaxial accelerometers as a test case. This protocol could eliminate the need for the host computer(s) to keep track of individual sensor performance parameters and facilitate the functionality to seamlessly upgrade sensors in the network.

Proceedings Title

METROIND4.0 Conference Proceedings

Conference Dates

June 3-4, 2021

Conference Location

Virtual Conference, IT

Conference Title

IEEE METROIND4.0 2021

Pub Type

Conferences

Keywords

dynamic uncertainty, digital sensor network, triaxial accelerometer

Citation

Gaitan, M. , Allen, R. , Geist, J. and Chijioke, A. (2021), A Dynamic Uncertainty Protocol for Digital Sensor Networks, METROIND4.0 Conference Proceedings, Virtual Conference, IT (Accessed April 2, 2025)