Wireless sensor network-based solution for environmental monitoring: water quality assessment case study

Detalhes bibliográficos
Autor(a) principal: Postolache, O.
Data de Publicação: 2014
Outros Autores: Pereira, J. D., Girão, P. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://ciencia.iscte-iul.pt/public/pub/id/20097
http://hdl.handle.net/10071/9501
Resumo: The challenges of climate change, population growth, demographic change, urbanization and resource depletion mean that the world's great cities need to adapt to survive and thrive over the coming decades. Slashing greenhouse gas emissions to prevent catastrophic climate change, while maintaining or increasing quality of life, can be a costly and difficult process. Two factors that directly affect the life quality in the XXI century cities are the water and air quality that can be monitored using the combination of low cost sensing modules, machine to machine (M2M) and internet of things (IoT) technologies. In this context, this study presents a wireless sensor network architecture that combines low cost sensing nodes and a low cost multi-parameters sensing probe for reliable monitoring of water quality parameters of surface waters (lakes, estuaries and rivers) in urban areas. A particular attention is dedicated to the design of the conductivity, temperature and turbidity signal conditioning circuits, highlighting important issues related to linearisation, measuring dynamic range and low-cost implementation by using commercial off-the-shelf components and devices. Several issues related to the wireless sensor network implementation are included in this study, as well as several simulation and experimental results.
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spelling Wireless sensor network-based solution for environmental monitoring: water quality assessment case studyWater qualityWireless sensor networkThe challenges of climate change, population growth, demographic change, urbanization and resource depletion mean that the world's great cities need to adapt to survive and thrive over the coming decades. Slashing greenhouse gas emissions to prevent catastrophic climate change, while maintaining or increasing quality of life, can be a costly and difficult process. Two factors that directly affect the life quality in the XXI century cities are the water and air quality that can be monitored using the combination of low cost sensing modules, machine to machine (M2M) and internet of things (IoT) technologies. In this context, this study presents a wireless sensor network architecture that combines low cost sensing nodes and a low cost multi-parameters sensing probe for reliable monitoring of water quality parameters of surface waters (lakes, estuaries and rivers) in urban areas. A particular attention is dedicated to the design of the conductivity, temperature and turbidity signal conditioning circuits, highlighting important issues related to linearisation, measuring dynamic range and low-cost implementation by using commercial off-the-shelf components and devices. Several issues related to the wireless sensor network implementation are included in this study, as well as several simulation and experimental results.IET - Institution of Engineering and Technology2015-07-31T10:39:24Z2014-01-01T00:00:00Z20142015-07-31T10:38:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/20097http://hdl.handle.net/10071/9501eng1751-8822Postolache, O.Pereira, J. D.Girão, P. M.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:58:24Zoai:repositorio.iscte-iul.pt:10071/9501Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:30:23.879998Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
title Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
spellingShingle Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
Postolache, O.
Water quality
Wireless sensor network
title_short Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
title_full Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
title_fullStr Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
title_full_unstemmed Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
title_sort Wireless sensor network-based solution for environmental monitoring: water quality assessment case study
author Postolache, O.
author_facet Postolache, O.
Pereira, J. D.
Girão, P. M.
author_role author
author2 Pereira, J. D.
Girão, P. M.
author2_role author
author
dc.contributor.author.fl_str_mv Postolache, O.
Pereira, J. D.
Girão, P. M.
dc.subject.por.fl_str_mv Water quality
Wireless sensor network
topic Water quality
Wireless sensor network
description The challenges of climate change, population growth, demographic change, urbanization and resource depletion mean that the world's great cities need to adapt to survive and thrive over the coming decades. Slashing greenhouse gas emissions to prevent catastrophic climate change, while maintaining or increasing quality of life, can be a costly and difficult process. Two factors that directly affect the life quality in the XXI century cities are the water and air quality that can be monitored using the combination of low cost sensing modules, machine to machine (M2M) and internet of things (IoT) technologies. In this context, this study presents a wireless sensor network architecture that combines low cost sensing nodes and a low cost multi-parameters sensing probe for reliable monitoring of water quality parameters of surface waters (lakes, estuaries and rivers) in urban areas. A particular attention is dedicated to the design of the conductivity, temperature and turbidity signal conditioning circuits, highlighting important issues related to linearisation, measuring dynamic range and low-cost implementation by using commercial off-the-shelf components and devices. Several issues related to the wireless sensor network implementation are included in this study, as well as several simulation and experimental results.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2015-07-31T10:39:24Z
2015-07-31T10:38:00Z
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dc.identifier.uri.fl_str_mv https://ciencia.iscte-iul.pt/public/pub/id/20097
http://hdl.handle.net/10071/9501
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http://hdl.handle.net/10071/9501
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv IET - Institution of Engineering and Technology
publisher.none.fl_str_mv IET - Institution of Engineering and Technology
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