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

1
Department of Computer Engineering, Universitat Politecnica de Valencia, 46022 Valencia, Spain
2
Department of Electrical Engineering, Electronics and Telecommunications, Universidad de Cuenca, Cuenca 010150, Ecuador
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(2), 460; https://doi.org/10.3390/s18020460
Received: 3 December 2017 / Revised: 30 January 2018 / Accepted: 31 January 2018 / Published: 4 February 2018
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2017)
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. View Full-Text
Keywords: Smart city; Internet of Things; crowdsensing; sensor design Smart city; Internet of Things; crowdsensing; sensor design
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MDPI and ACS Style

Alvear, O.; Calafate, C.T.; Cano, J.-C.; Manzoni, P. Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues. Sensors 2018, 18, 460.

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