Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Erazo-Rodas, Mayra, Sandoval-Moreno, Mary, Muñoz-Romero, Sergio, Huerta, Mónica, Rivas-Lalaleo, David, Naranjo, César, Rojo-Álvarez, José Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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
_version_ 1783350646723837952
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
work_keys_str_mv AT erazorodasmayra multiparametricmonitoringinequatoriantomatogreenhousesiwirelesssensornetworkbenchmarking
AT sandovalmorenomary multiparametricmonitoringinequatoriantomatogreenhousesiwirelesssensornetworkbenchmarking
AT munozromerosergio multiparametricmonitoringinequatoriantomatogreenhousesiwirelesssensornetworkbenchmarking
AT huertamonica multiparametricmonitoringinequatoriantomatogreenhousesiwirelesssensornetworkbenchmarking
AT rivaslalaleodavid multiparametricmonitoringinequatoriantomatogreenhousesiwirelesssensornetworkbenchmarking
AT naranjocesar multiparametricmonitoringinequatoriantomatogreenhousesiwirelesssensornetworkbenchmarking
AT rojoalvarezjoseluis multiparametricmonitoringinequatoriantomatogreenhousesiwirelesssensornetworkbenchmarking