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Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize

Agriculture is considered a hotspot for wireless sensor network (WSN) facilities as they could potentially contribute towards improving on-farm management and food crop yields. This study proposes six designs of unmanned aerial system (UAS)-enabled data ferries with the intent of communicating with...

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Autores principales: Singh, Jasreman, Ge, Yufeng, Heeren, Derek M., Walter-Shea, Elizabeth, Neale, Christopher M. U., Irmak, Suat, Maguire, Mitchell S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914728/
https://www.ncbi.nlm.nih.gov/pubmed/35271010
http://dx.doi.org/10.3390/s22051863
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author Singh, Jasreman
Ge, Yufeng
Heeren, Derek M.
Walter-Shea, Elizabeth
Neale, Christopher M. U.
Irmak, Suat
Maguire, Mitchell S.
author_facet Singh, Jasreman
Ge, Yufeng
Heeren, Derek M.
Walter-Shea, Elizabeth
Neale, Christopher M. U.
Irmak, Suat
Maguire, Mitchell S.
author_sort Singh, Jasreman
collection PubMed
description Agriculture is considered a hotspot for wireless sensor network (WSN) facilities as they could potentially contribute towards improving on-farm management and food crop yields. This study proposes six designs of unmanned aerial system (UAS)-enabled data ferries with the intent of communicating with stationary sensor node stations in maize. Based on selection criteria and constraints, a proposed UAS data ferrying design was shortlisted from which a field experiment was conducted for two growing seasons to investigate the adoptability of the selected design along with an established WSN system. A data ferry platform comprised of a transceiver radio, a mini-laptop, and a battery was constructed and mounted on the UAS. Real-time monitoring of soil and temperature parameters was enabled through the node stations with data retrieved by the UAS data ferrying. The design was validated by establishing communication at different heights (31 m, 61 m, and 122 m) and lateral distances (0 m, 38 m, and 76 m) from the node stations. The communication success rate (CSR) was higher at a height of 31 m and within a lateral distance of 38 m from the node station. Lower communication was accredited to potential interference from the maize canopy and water losses from the maize canopy.
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spelling pubmed-89147282022-03-12 Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize Singh, Jasreman Ge, Yufeng Heeren, Derek M. Walter-Shea, Elizabeth Neale, Christopher M. U. Irmak, Suat Maguire, Mitchell S. Sensors (Basel) Article Agriculture is considered a hotspot for wireless sensor network (WSN) facilities as they could potentially contribute towards improving on-farm management and food crop yields. This study proposes six designs of unmanned aerial system (UAS)-enabled data ferries with the intent of communicating with stationary sensor node stations in maize. Based on selection criteria and constraints, a proposed UAS data ferrying design was shortlisted from which a field experiment was conducted for two growing seasons to investigate the adoptability of the selected design along with an established WSN system. A data ferry platform comprised of a transceiver radio, a mini-laptop, and a battery was constructed and mounted on the UAS. Real-time monitoring of soil and temperature parameters was enabled through the node stations with data retrieved by the UAS data ferrying. The design was validated by establishing communication at different heights (31 m, 61 m, and 122 m) and lateral distances (0 m, 38 m, and 76 m) from the node stations. The communication success rate (CSR) was higher at a height of 31 m and within a lateral distance of 38 m from the node station. Lower communication was accredited to potential interference from the maize canopy and water losses from the maize canopy. MDPI 2022-02-26 /pmc/articles/PMC8914728/ /pubmed/35271010 http://dx.doi.org/10.3390/s22051863 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Singh, Jasreman
Ge, Yufeng
Heeren, Derek M.
Walter-Shea, Elizabeth
Neale, Christopher M. U.
Irmak, Suat
Maguire, Mitchell S.
Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize
title Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize
title_full Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize
title_fullStr Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize
title_full_unstemmed Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize
title_short Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize
title_sort unmanned aerial system-based data ferrying over a sensor node station network in maize
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914728/
https://www.ncbi.nlm.nih.gov/pubmed/35271010
http://dx.doi.org/10.3390/s22051863
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