2023
DOI: 10.1007/s11265-023-01834-2
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TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring

Abstract: Densely distributed sensor networks can revolutionize environmental observations by providing real-time data with an unprecedented spatiotemporal resolution. However, field deployments often pose unique challenges in terms of power provisions and wireless connectivity. We present a framework for wirelessly connected distributed sensor arrays for near-surface temperature and/or deformation monitoring. Our research focuses on a novel time division duplex implementation of the LoRa protocol, enabling battery powe… Show more

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Cited by 4 publications
(1 citation statement)
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“…In addition, sporadic ground-based surveys such as snow course measurements are still important to cover a larger space between fixed sensors and to create site-specific relationships with remote sensing data (Dressler et al, 2006). In particular, our approach is promising to guide the optimal deployment of wireless sensor networks (e.g., Oroza et al, 2016;Wielandt et al, 2023), in which the value of sensing various properties of interest might need to be balanced by the site accessibility, sensor resolution and accuracy, power requirement, wireless connectivity, total data cost, and complementarity to remote sensing products and other datasets.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, sporadic ground-based surveys such as snow course measurements are still important to cover a larger space between fixed sensors and to create site-specific relationships with remote sensing data (Dressler et al, 2006). In particular, our approach is promising to guide the optimal deployment of wireless sensor networks (e.g., Oroza et al, 2016;Wielandt et al, 2023), in which the value of sensing various properties of interest might need to be balanced by the site accessibility, sensor resolution and accuracy, power requirement, wireless connectivity, total data cost, and complementarity to remote sensing products and other datasets.…”
Section: Discussionmentioning
confidence: 99%