Sequential recalibration of wireless sensor networks with (stochastic) gradient descent and mobile references
Sensors can suffer from aging drift over their lifetime, thus showing changes in sensitivity and baseline, which then leads to unreliable measurement results and affects digital trust. By performing Monte Carlo simulations, this work evaluated the opportunity to use gradient descent, in combination...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917421000787 |