Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1007/978-3-319-64283-3_34 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
IoT-based,Dashboard,Cloud computing,Benchmarking | Data collection,Data mining,Monitoring system,Visualization,Computer science,Air quality index,Smart city,Data management,Database,Benchmarking,Cloud computing | Conference |
Volume | ISSN | Citations |
10440 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiufeng Liu | 1 | 108 | 14.69 |
Per Sieverts Nielsen | 2 | 26 | 3.83 |