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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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 |
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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 |
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