Abstract
Air quality monitoring has become an integral part of smart city solutions. This paper presents an air quality monitoring system based on Internet of Things (IoT) technologies, and establishes a cloud-based platform to address the challenges related to IoT data management and processing capabilities, including data collection, storage, analysis, and visualization. In addition, this paper also benchmarks four state-of-the-art database systems to investigate the appropriate technologies for managing large-scale IoT datasets.
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CITATION STYLE
Liu, X., & Nielsen, P. S. (2017). Air quality monitoring system and benchmarking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10440 LNCS, pp. 459–470). Springer Verlag. https://doi.org/10.1007/978-3-319-64283-3_34
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