Book chapter · Conference paper
Air Quality Monitoring System and Benchmarking
In
Lecture Notes in Computer Science
—
2017, pp. 459-470
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.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2017 |
| Pages: | 459-470 |
| Proceedings: | 19th International Conference on Big Data Analytics and Knowledge Discovery |
| Series: | Lecture Notes in Computer Science |
| Journal subtitle: | 19th International Conference, Dawak 2017, Lyon, France, August 28–31, 2017, Proceedings |
| ISBN: | 3319642820 , 3319642839 , 9783319642826 and 9783319642833 |
| ISSN: | 16113349 and 03029743 |
| Types: | Book chapter and Conference paper |
| DOI: | 10.1007/978-3-319-64283-3_34 |
| ORCIDs: | Liu, Xiufeng and Nielsen, Per Sieverts |
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