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Title A Vehicular Internet Of Things (Iot) System For High-Granularity Air Quality Monitoring In Smart Cities
ID_Doc 5761
Authors Khedo K.K.; Shenoy P.; Zeadally K.; Awotar K.; Ramdani L.
Year 2020
Published EAI/Springer Innovations in Communication and Computing
DOI http://dx.doi.org/10.1007/978-3-030-39986-3_6
Abstract Internet of Things (IoT) is a rapidly emerging field in which everyday things are equipped with sensing and communication capabilities. This is giving rise to numerous innovative solutions in areas such as medical, agriculture, transportation and environment. In this chapter, a vehicular IoT system for real-time air quality monitoring in smart cities is proposed. The main focus of this work is to design a low-cost IoT module for air quality monitoring that can be easily replicated on vehicles and provide good spatial coverage of the status of air quality in a city. The proposed system is an alternative to expensive air quality monitoring stations and provides fine-grained air quality data for better spatial and temporal monitoring. The aim of this chapter is to describe the implementation of a vehicular sensor network that provides high-resolution spatial and temporal monitoring of air quality in smart cities. The air quality sensor data are collected and transmitted to a remote server where a set of analytics tasks are performed in order to calculate the air quality index, thus providing real-time ambient air quality information to the local authorities and population. Moreover, a mobile application was developed for easy access and visualization of the air quality data. © Springer Nature Switzerland AG 2020.
Author Keywords Air quality; Internet of Things; Spatial monitoring; Temporal monitoring; Vehicular sensor network


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