What is it about?
We propose a system that reduces the energy used by a system of sensors deployed in harsh environment, for example under direct sunlight, by limiting the time the sensors' cooling fans operate. We tested several methods based on data evidence to show the impact of ventilation time on temperature and humidity measurement accuracy.
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Why is it important?
It allows the sensor system to run for a longer time and to produce more frequent measurements, increasing the system's precision and longevity.
Perspectives
It considers the complex problem of tradeoff improvement between measurement accuracy and system life.
Antonio Di Maio
University of Bern
Read the Original
This page is a summary of: Machine Learning-based Energy Optimisation in Smart City Internet of Things, October 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3565287.3616527.
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