Multiparametric monitoring in equatorian tomato greenhouses (I): Wireless sensor network benchmarking

Mayra Erazo-Rodas, Mary Sandoval-Moreno, Sergio Muñoz-Romero, Mónica Huerta, David Rivas-Lalaleo, César Naranjo, José Luis Rojo-álvarez

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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™) 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.

Original languageEnglish
Article number2555
JournalSensors (Switzerland)
Volume18
Issue number8
DOIs
StatePublished - 4 Aug 2018

Bibliographical note

Funding Information:
This work was supported in part by Research Grants PRINCIPIAS and FINALE (TEC2013-48439-C4-1-R and TEC2016-75161-C2-1-R) from Spanish Government and by Research Grant PRICAM (S2013/ICE-2933) from Comunidad de Madrid; in part by the Universidad de las Fuerzas Armadas ESPE under Research Grant Energy Efficiency in Wireless Sensor Networks (2016-PIC-043 and 2015-PIT-004); and in part by the Thematic Network RiegoNets (CYTED project 514RT0486), and PLATANO project from Universidad Politécnica Salesiana, Cuenca, Ecuador.

Funding Information:
Acknowledgments: This work was supported in part by Research Grants PRINCIPIAS and FINALE (TEC2013-48439-C4-1-R and TEC2016-75161-C2-1-R) from Spanish Government and by Research Grant PRICAM (S2013/ICE-2933) from Comunidad de Madrid; in part by the Universidad de las Fuerzas Armadas ESPE under Research Grant Energy Efficiency in Wireless Sensor Networks (2016-PIC-043 and 2015-PIT-004); and in part by the Thematic Network RiegoNets (CYTED project 514RT0486), and PLATANO project from Universidad Politécnica Salesiana, Cuenca, Ecuador.

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Digimesh
  • Greenhouse
  • Libeliumtm
  • Tomato
  • Wifi
  • Wireless sensor networks
  • Zigbee

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