Abstract
This paper presents an example of collaboration between two different air quality monitoring systems, one developed for indoor usage, the other one used in some regions of Italy as an example of citizens’ collaborative work for monitoring the air quality in smart cities. The exchange of information between the two systems (the inner one and the external one) allows making a weighted decision for improving the inner air quality. By evaluating both indoor and outdoor air quality levels, a reasoner decides the best policy to be automatically adopted to improve, or at least not worsen, the indoor air quality.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
P. Barsocchi, P. Cassara, F. Mavilia, D. Pellegrini, Sensing a city’s state of health: structural monitoring system by Internet-of-Things wireless sensing devices. IEEE Consum. Electron. Mag. 7(2), 22–31 (2018)
P. Barsocchi, Position recognition to support bedsores prevention. IEEE J. Biomed. Health Inform. 17(1), 53–59 (2013)
D. Bacciu, S. Chessa, C. Gallicchio, A. Micheli, E. Ferro et al., Smart environments and context-awareness for lifestyle management in a healthy active ageing framework, in Portuguese Conference on Artificial Intelligence (Springer, Cham, 2015), pp. 54–66
P. Barsocchi, A. Calabro, E. Ferro, C. Gennaro et al., Boosting a low-cost smart home environment with usage and access control rules. Sensors 18(6), 1886 (2018)
A. Crivello, F. Mavilia, P. Barsocchi, E. Ferro, F. Palumbo, Detecting occupancy and social interaction via energy and environmental monitoring. Int. J. Sensor Netw. 27(1), 61–69 (2018)
A. Sherin, X. Li , A cost-effective wireless sensor network system for indoor air quality monitoring applications. Proc. Comput. Sci. 34, 165–171 (2014)
H.U. Wanner, Sources of pollutants in indoor air. IARC Scientific Publications, vol. 109 (IARC, Lyon, 1993), pp. 19–30
K. Arashidani, M. Yoshikawa, T. Kawamoto et al., Indoor pollution from heating. Ind. Health 34(3), 205–215 (1996)
ANSI/ASHRAE Standard 62.1/2 - 2016 Ventilation for acceptable indoor air quality set
M. Girolami et al. The integration of ZigBee with the GiraffPlus robotic framework, in International Joint Conference on Ambient Intelligence (Springer, Cham, 2013)
P. Barsocchi, E. Ferro, L. Fortunati, F. Mavilia, F. Palumbo, EMS@ CNR: an energy monitoring sensor network infrastructure for in-building location-based services, in High Performance Computing & Simulation (HPCS), pp. 857–862 (IEEE, New York, 2014)
Air Quality in Europe - 2018 Report, EEA Report N. 12/20118 published on October 29, 2018
Acknowledgements
This work was carried out in the framework of the SIGS project, co-funded by the Tuscany Region (Italy) under the Regional Implementation Programme for Underutilized Areas Fund (FAR FAS 2007–2013).
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Baronti, P., Barsocchi, P., Ferro, E., Mavilia, F., Piotto, M., Strambini, L. (2020). Smart Sensors in Smart Cities Collaborate for Indoor Air Quality. In: Zamboni, W., Petrone, G. (eds) ELECTRIMACS 2019. Lecture Notes in Electrical Engineering, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-030-37161-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-37161-6_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37160-9
Online ISBN: 978-3-030-37161-6
eBook Packages: EngineeringEngineering (R0)