Beyond Sensing: Suitability of LoRa for Meshed Automatic Section Control of Agricultural Vehicles
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
LoRa is a wireless communication technology that is well-known for its use in long-range sensor data collection, primarily as a part of the LoRaWAN stack. In contrast, in this paper we investigate the suitability of plain LoRa and its use for more complex and more demanding applications in the agricultural domain. We describe meshed Automatic Section Control (m-ASC) as a prototypical application of connected vehicles in the agricultural domain. It allows multiple vehicles to conduct the same work in the same field in parallel by selectively turning off sections of their equipment (e.g., individual sprayer nozzles) in regions that have already been cultivated by another vehicle. We conduct both field experiments and computer simulations to investigate the performance of LoRa. We demonstrate that LoRa is a promising basis for this use case, allowing for long-range communication even under Non-Line-of-Sight (NLOS) conditions and meeting the demands of this example application with ample room for higher-performance and more complex applications.
Details
Originalsprache | Englisch |
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Titel | 17th Conference on Wireless On-Demand Network Systems and Services, WONS 2022 |
Redakteure/-innen | Michael Welzl, Gunnar Karlsson, Ozgu Alay, Chunyi Peng |
Herausgeber (Verlag) | IEEE |
ISBN (elektronisch) | 9783903176461 |
Publikationsstatus | Veröffentlicht - 1 März 2022 |
Peer-Review-Status | Ja |
Externe IDs
Scopus | 85130232934 |
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dblp | conf/wons/Lautenschlaeger22 |
unpaywall | 10.23919/wons54113.2022.9764458 |
Bibtex | nsm-lautenschlaeger2022beyond |