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Smart city article details

Title	Large Scale Air-Quality Monitoring In Smart And Sustainable Cities
ID_Doc	34734
Authors	Jiang X.
Year	2017
Published	Smart Cities: Foundations, Principles, and Applications
DOI	http://dx.doi.org/10.1002/9781119226444.ch25
Abstract	This chapter presents a novel cloud-based approach to the problem in air quality monitoring. This approach can be easily extended to other types of environmental monitoring in smart cities. The chapter guides readers through the design of two sensor front ends - a stationary air quality sensor that connects to the cloud via Ethernet and GPRS and a portable sensor that connects to the smartphone via Bluetooth 4.0. It also describes the design of APIs, interfaces, and web services for the third-party developers to create applications on top of this systems. The chapter further introduces a combination of data analysis and machine learning techniques for signal conditioning, sensor calibration, and inference. A novel client-cloud system, called AirCloud, is used to address the numerous challenges in city-scale air quality monitoring that is both accurate and affordable. AirCloud uses a heterogeneous set of data sources as inputs. © 2017 John Wiley & Sons, Inc. All rights reserved.
Author Keywords	AirCloud; APIs; Cloud-based approach; Cloud-side system design; Data analytics; Large scale air-quality monitoring; Smart cities; Smartphone; Stationary air quality sensor

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