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:	Marcantonio Catelani, Lorenzo Ciani, Alessandro Bartolini, Cristiano Del Rio, Giulia Guidi, Gabriele Patrizi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	availability experimental design precision farming reliability wireless sensor network Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/2b7164f672ba41399bd4d6265674d6cc
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spelling	oai:doaj.org-article:2b7164f672ba41399bd4d6265674d6cc2021-11-25T18:58:27ZReliability Analysis of Wireless Sensor Network for Smart Farming Applications10.3390/s212276831424-8220https://doaj.org/article/2b7164f672ba41399bd4d6265674d6cc2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7683https://doaj.org/toc/1424-8220Wireless 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.Marcantonio CatelaniLorenzo CianiAlessandro BartoliniCristiano Del RioGiulia GuidiGabriele PatriziMDPI AGarticleavailabilityexperimental designprecision farmingreliabilitywireless sensor networkChemical technologyTP1-1185ENSensors, Vol 21, Iss 7683, p 7683 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	availability experimental design precision farming reliability wireless sensor network Chemical technology TP1-1185
spellingShingle	availability experimental design precision farming reliability wireless sensor network Chemical technology TP1-1185 Marcantonio Catelani Lorenzo Ciani Alessandro Bartolini Cristiano Del Rio Giulia Guidi Gabriele Patrizi Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
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.
format	article
author	Marcantonio Catelani Lorenzo Ciani Alessandro Bartolini Cristiano Del Rio Giulia Guidi Gabriele Patrizi
author_facet	Marcantonio Catelani Lorenzo Ciani Alessandro Bartolini Cristiano Del Rio Giulia Guidi Gabriele Patrizi
author_sort	Marcantonio Catelani
title	Reliability Analysis of Wireless Sensor Network for Smart Farming Applications
title_short	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_sort	reliability analysis of wireless sensor network for smart farming applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2b7164f672ba41399bd4d6265674d6cc
work_keys_str_mv	AT marcantoniocatelani reliabilityanalysisofwirelesssensornetworkforsmartfarmingapplications AT lorenzociani reliabilityanalysisofwirelesssensornetworkforsmartfarmingapplications AT alessandrobartolini reliabilityanalysisofwirelesssensornetworkforsmartfarmingapplications AT cristianodelrio reliabilityanalysisofwirelesssensornetworkforsmartfarmingapplications AT giuliaguidi reliabilityanalysisofwirelesssensornetworkforsmartfarmingapplications AT gabrielepatrizi reliabilityanalysisofwirelesssensornetworkforsmartfarmingapplications
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Reliability Analysis of Wireless Sensor Network for Smart Farming Applications

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