Cargando…

Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues

Evidence shows that Smart Cities are starting to materialise in our lives through the gradual introduction of the Internet of Things (IoT) paradigm. In this scope, crowdsensing emerges as a powerful solution to address environmental monitoring, allowing to control air pollution levels in crowded urb...

Descripción completa

Detalles Bibliográficos
Autores principales: Alvear, Oscar, Calafate, Carlos T., Cano, Juan-Carlos, Manzoni, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855194/
https://www.ncbi.nlm.nih.gov/pubmed/29401711
http://dx.doi.org/10.3390/s18020460
_version_ 1783307051216142336
author Alvear, Oscar
Calafate, Carlos T.
Cano, Juan-Carlos
Manzoni, Pietro
author_facet Alvear, Oscar
Calafate, Carlos T.
Cano, Juan-Carlos
Manzoni, Pietro
author_sort Alvear, Oscar
collection PubMed
description Evidence shows that Smart Cities are starting to materialise in our lives through the gradual introduction of the Internet of Things (IoT) paradigm. In this scope, crowdsensing emerges as a powerful solution to address environmental monitoring, allowing to control air pollution levels in crowded urban areas in a distributed, collaborative, inexpensive and accurate manner. However, even though technology is already available, such environmental sensing devices have not yet reached consumers. In this paper, we present an analysis of candidate technologies for crowdsensing architectures, along with the requirements for empowering users with air monitoring capabilities. Specifically, we start by providing an overview of the most relevant IoT architectures and protocols. Then, we present the general design of an off-the-shelf mobile environmental sensor able to cope with air quality monitoring requirements; we explore different hardware options to develop the desired sensing unit using readily available devices, discussing the main technical issues associated with each option, thereby opening new opportunities in terms of environmental monitoring programs.
format Online
Article
Text
id pubmed-5855194
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-58551942018-03-20 Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues Alvear, Oscar Calafate, Carlos T. Cano, Juan-Carlos Manzoni, Pietro Sensors (Basel) Review Evidence shows that Smart Cities are starting to materialise in our lives through the gradual introduction of the Internet of Things (IoT) paradigm. In this scope, crowdsensing emerges as a powerful solution to address environmental monitoring, allowing to control air pollution levels in crowded urban areas in a distributed, collaborative, inexpensive and accurate manner. However, even though technology is already available, such environmental sensing devices have not yet reached consumers. In this paper, we present an analysis of candidate technologies for crowdsensing architectures, along with the requirements for empowering users with air monitoring capabilities. Specifically, we start by providing an overview of the most relevant IoT architectures and protocols. Then, we present the general design of an off-the-shelf mobile environmental sensor able to cope with air quality monitoring requirements; we explore different hardware options to develop the desired sensing unit using readily available devices, discussing the main technical issues associated with each option, thereby opening new opportunities in terms of environmental monitoring programs. MDPI 2018-02-04 /pmc/articles/PMC5855194/ /pubmed/29401711 http://dx.doi.org/10.3390/s18020460 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 Review
Alvear, Oscar
Calafate, Carlos T.
Cano, Juan-Carlos
Manzoni, Pietro
Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
title Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
title_full Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
title_fullStr Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
title_full_unstemmed Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
title_short Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
title_sort crowdsensing in smart cities: overview, platforms, and environment sensing issues
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855194/
https://www.ncbi.nlm.nih.gov/pubmed/29401711
http://dx.doi.org/10.3390/s18020460
work_keys_str_mv AT alvearoscar crowdsensinginsmartcitiesoverviewplatformsandenvironmentsensingissues
AT calafatecarlost crowdsensinginsmartcitiesoverviewplatformsandenvironmentsensingissues
AT canojuancarlos crowdsensinginsmartcitiesoverviewplatformsandenvironmentsensingissues
AT manzonipietro crowdsensinginsmartcitiesoverviewplatformsandenvironmentsensingissues