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Reliability Analysis of Wireless Sensor Network for Smart Farming Applications

Wireless Sensor Networks are subjected to some design constraints (e.g., processing capability, storage memory, energy consumption, fixed deployment, etc.) and to outdoor harsh conditions that deeply affect the network reliability. The aim of this work is to provide a deeper understanding about the...

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Autores principales: Catelani, Marcantonio, Ciani, Lorenzo, Bartolini, Alessandro, Del Rio, Cristiano, Guidi, Giulia, Patrizi, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619464/
https://www.ncbi.nlm.nih.gov/pubmed/34833759
http://dx.doi.org/10.3390/s21227683
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author Catelani, Marcantonio
Ciani, Lorenzo
Bartolini, Alessandro
Del Rio, Cristiano
Guidi, Giulia
Patrizi, Gabriele
author_facet Catelani, Marcantonio
Ciani, Lorenzo
Bartolini, Alessandro
Del Rio, Cristiano
Guidi, Giulia
Patrizi, Gabriele
author_sort Catelani, Marcantonio
collection PubMed
description Wireless Sensor Networks are subjected to some design constraints (e.g., processing capability, storage memory, energy consumption, fixed deployment, etc.) and to outdoor harsh conditions that deeply affect the network reliability. The aim of this work is to provide a deeper understanding about the way redundancy and node deployment affect the network reliability. In more detail, the paper analyzes the design and implementation of a wireless sensor network for low-power and low-cost applications and calculates its reliability considering the real environmental conditions and the real arrangement of the nodes deployed in the field. The reliability of the system has been evaluated by looking for both hardware failures and communication errors. A reliability prediction based on different handbooks has been carried out to estimate the failure rate of the nodes self-designed and self-developed to be used under harsh environments. Then, using the Fault Tree Analysis the real deployment of the nodes is taken into account considering the Wi-Fi coverage area and the possible communication link between nearby nodes. The findings show how different node arrangements provide significantly different reliability. The positioning is therefore essential in order to obtain maximum performance from a Wireless sensor network.
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spelling pubmed-86194642021-11-27 Reliability Analysis of Wireless Sensor Network for Smart Farming Applications Catelani, Marcantonio Ciani, Lorenzo Bartolini, Alessandro Del Rio, Cristiano Guidi, Giulia Patrizi, Gabriele Sensors (Basel) Article Wireless Sensor Networks are subjected to some design constraints (e.g., processing capability, storage memory, energy consumption, fixed deployment, etc.) and to outdoor harsh conditions that deeply affect the network reliability. The aim of this work is to provide a deeper understanding about the way redundancy and node deployment affect the network reliability. In more detail, the paper analyzes the design and implementation of a wireless sensor network for low-power and low-cost applications and calculates its reliability considering the real environmental conditions and the real arrangement of the nodes deployed in the field. The reliability of the system has been evaluated by looking for both hardware failures and communication errors. A reliability prediction based on different handbooks has been carried out to estimate the failure rate of the nodes self-designed and self-developed to be used under harsh environments. Then, using the Fault Tree Analysis the real deployment of the nodes is taken into account considering the Wi-Fi coverage area and the possible communication link between nearby nodes. The findings show how different node arrangements provide significantly different reliability. The positioning is therefore essential in order to obtain maximum performance from a Wireless sensor network. MDPI 2021-11-18 /pmc/articles/PMC8619464/ /pubmed/34833759 http://dx.doi.org/10.3390/s21227683 Text en © 2021 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
Catelani, Marcantonio
Ciani, Lorenzo
Bartolini, Alessandro
Del Rio, Cristiano
Guidi, Giulia
Patrizi, Gabriele
Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
title Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
title_full Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
title_fullStr Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
title_full_unstemmed Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
title_short Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
title_sort reliability analysis of wireless sensor network for smart farming applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619464/
https://www.ncbi.nlm.nih.gov/pubmed/34833759
http://dx.doi.org/10.3390/s21227683
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