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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/2/460 |
| _version_ | 1828113802399318016 |
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| author | Oscar Alvear Carlos T. Calafate Juan-Carlos Cano Pietro Manzoni |
| author_facet | Oscar Alvear Carlos T. Calafate Juan-Carlos Cano Pietro Manzoni |
| author_sort | Oscar Alvear |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T12:15:56Z |
| format | Article |
| id | doaj.art-3d03b42552cc4650806bee0073765446 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:15:56Z |
| publishDate | 2018-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3d03b42552cc4650806bee00737654462022-12-22T04:24:19ZengMDPI AGSensors1424-82202018-02-0118246010.3390/s18020460s18020460Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing IssuesOscar Alvear0Carlos T. Calafate1Juan-Carlos Cano2Pietro Manzoni3Department of Computer Engineering, Universitat Politecnica de Valencia, 46022 Valencia, SpainDepartment of Computer Engineering, Universitat Politecnica de Valencia, 46022 Valencia, SpainDepartment of Computer Engineering, Universitat Politecnica de Valencia, 46022 Valencia, SpainDepartment of Computer Engineering, Universitat Politecnica de Valencia, 46022 Valencia, SpainEvidence 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.http://www.mdpi.com/1424-8220/18/2/460Smart cityInternet of Thingscrowdsensingsensor design |
| spellingShingle | Oscar Alvear Carlos T. Calafate Juan-Carlos Cano Pietro Manzoni Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues Sensors Smart city Internet of Things crowdsensing sensor design |
| 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 | Smart city Internet of Things crowdsensing sensor design |
| url | http://www.mdpi.com/1424-8220/18/2/460 |
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