Home // AMBIENT 2025, The Fifteenth International Conference on Ambient Computing, Applications, Services and Technologies // View article
Authors:
Alberto Ivars-Palomares
Lorena Parra
Jaime Lloret
Sandra Sendra
Pedro V. Mauri
Keywords: soil moisture; soil temperature; agriculture; sensor.
Abstract:
The quality of data is essential when it is used for digital twin purposes. Nevertheless, in rural areas with limited energy, the periodicity in data forwarding can be challenging. This paper assesses an event-triggered algorithm based on the variation between the current sensed data and the last sent data. Specifically, thresholds are optimised to determine the data forwarding for a rainfed agriculture monitoring network. The thresholds are optimised using a metric that combines the energy efficiency and quality of data in terms of the percentage of packets saved and the error between the real value and the digital twin value. This has been conducted for soil moisture sensors located at different depths and soil temperature sensors. Once the thresholds have been optimised, with values of 2 ºC for soil temperature and 0.25 % for soil moisture sensors, the saved packets are considered. These thresholds are applied to other similar nodes located in different areas. The results indicate that while the amount of sent packets is similar, ranging from 953 to 1269, the errors are highly variable. The saved packets represent a saving in packets that ranges from 82 to 86 %. This can be explained by the differences in temperature and soil moisture changes and trends among different sensors located in different places. Thus, these results suggest that adaptable tresdhols should be provided that automatically adapt to the conditions of the monitored site.
Pages: 1 to 6
Copyright: Copyright (c) IARIA, 2025
Publication date: September 28, 2025
Published in: conference
ISSN: 2326-9324
ISBN: 978-1-68558-291-3
Location: Lisbon, Portugal
Dates: from September 28, 2025 to October 2, 2025