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Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking
In recent years, attention has been paid to wireless sensor networks (WSNs) applied to precision agriculture. However, few studies have compared the technologies of different communication standards in terms of topology and energy efficiency. This paper presents the design and implementation of the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111376/ https://www.ncbi.nlm.nih.gov/pubmed/30081559 http://dx.doi.org/10.3390/s18082555 |
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author | Erazo-Rodas, Mayra Sandoval-Moreno, Mary Muñoz-Romero, Sergio Huerta, Mónica Rivas-Lalaleo, David Naranjo, César Rojo-Álvarez, José Luis |
author_facet | Erazo-Rodas, Mayra Sandoval-Moreno, Mary Muñoz-Romero, Sergio Huerta, Mónica Rivas-Lalaleo, David Naranjo, César Rojo-Álvarez, José Luis |
author_sort | Erazo-Rodas, Mayra |
collection | PubMed |
description | In recent years, attention has been paid to wireless sensor networks (WSNs) applied to precision agriculture. However, few studies have compared the technologies of different communication standards in terms of topology and energy efficiency. This paper presents the design and implementation of the hardware and software of three WSNs with different technologies and topologies of wireless communication for tomato greenhouses in the Andean region of Ecuador, as well as the comparative study of the performance of each of them. Two companion papers describe the study of the dynamics of the energy consumption and of the monitored variables. Three WSNs were deployed, two of them with the IEEE 802.15.4 standard with star and mesh topologies (ZigBee and DigiMesh, respectively), and a third with the IEEE 802.11 standard with access point topology (WiFi). The measured variables were selected after investigation of the climatic conditions required for efficient tomato growth. The measurements for each variable could be displayed in real time using either a laboratory virtual instrument engineering workbench (LabVIEW [Formula: see text]) interface or an Android mobile application. The comparative study of the three networks made evident that the configuration of the DigiMesh network is the most complex for adding new nodes, due to its mesh topology. However, DigiMesh maintains the bit rate and prevents data loss by the location of the nodes as a function of crop height. It has been also shown that the WiFi network has better stability with larger precision in its measurements. |
format | Online Article Text |
id | pubmed-6111376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61113762018-08-30 Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking Erazo-Rodas, Mayra Sandoval-Moreno, Mary Muñoz-Romero, Sergio Huerta, Mónica Rivas-Lalaleo, David Naranjo, César Rojo-Álvarez, José Luis Sensors (Basel) Article In recent years, attention has been paid to wireless sensor networks (WSNs) applied to precision agriculture. However, few studies have compared the technologies of different communication standards in terms of topology and energy efficiency. This paper presents the design and implementation of the hardware and software of three WSNs with different technologies and topologies of wireless communication for tomato greenhouses in the Andean region of Ecuador, as well as the comparative study of the performance of each of them. Two companion papers describe the study of the dynamics of the energy consumption and of the monitored variables. Three WSNs were deployed, two of them with the IEEE 802.15.4 standard with star and mesh topologies (ZigBee and DigiMesh, respectively), and a third with the IEEE 802.11 standard with access point topology (WiFi). The measured variables were selected after investigation of the climatic conditions required for efficient tomato growth. The measurements for each variable could be displayed in real time using either a laboratory virtual instrument engineering workbench (LabVIEW [Formula: see text]) interface or an Android mobile application. The comparative study of the three networks made evident that the configuration of the DigiMesh network is the most complex for adding new nodes, due to its mesh topology. However, DigiMesh maintains the bit rate and prevents data loss by the location of the nodes as a function of crop height. It has been also shown that the WiFi network has better stability with larger precision in its measurements. MDPI 2018-08-04 /pmc/articles/PMC6111376/ /pubmed/30081559 http://dx.doi.org/10.3390/s18082555 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Erazo-Rodas, Mayra Sandoval-Moreno, Mary Muñoz-Romero, Sergio Huerta, Mónica Rivas-Lalaleo, David Naranjo, César Rojo-Álvarez, José Luis Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking |
title | Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking |
title_full | Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking |
title_fullStr | Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking |
title_full_unstemmed | Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking |
title_short | Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking |
title_sort | multiparametric monitoring in equatorian tomato greenhouses (i): wireless sensor network benchmarking |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111376/ https://www.ncbi.nlm.nih.gov/pubmed/30081559 http://dx.doi.org/10.3390/s18082555 |
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