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Urban Air Quality Monitoring Using Vehicular Sensor Networks

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Advances onto the Internet of Things

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 260))

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Abstract

The quality of air is a major concern in modern cities as pollutants have been demonstrated to have significant impact on human health. Networks of fixed monitoring stations have been deployed in urban areas to provide authorities with data to define and enforce dynamically policies to reduce pollutants, for instance by issuing traffic regulation measures. However, fixed networks require careful placement of monitoring stations to be effective. Moreover, changes in urban arrangement, activities, or regulations may affect considerably the monitoring model, especially when budget constraints prevent from relocating stations or adding new ones to the network. In this chapter we discuss a different approach to environmental monitoring through mobile monitoring devices implementing a Vehicular Sensor Network (VSN) to be deployed on the public transport bus fleet of Palermo.

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Acknowledgments

This work has been partially supported by the PON R&C grant MI01_00091 funding the SeNSori project.

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Authors and Affiliations

  1. DICGIM, University of Palermo, Viale delle Scienze, ed. 6, 90128, Palermo, Italy

    Giuseppe Lo Re, Daniele Peri & Salvatore Davide Vassallo

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  1. Giuseppe Lo Re
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  2. Daniele Peri
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  3. Salvatore Davide Vassallo
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Corresponding author

Correspondence to Giuseppe Lo Re .

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Editors and Affiliations

  1. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Salvatore Gaglio

  2. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Giuseppe Lo Re

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Lo Re, G., Peri, D., Vassallo, S.D. (2014). Urban Air Quality Monitoring Using Vehicular Sensor Networks. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-03992-3_22

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