Conference
A Comparison of Time Series Databases for Storing Water Quality Data
Abstract
Water quality is an ongoing concern and wireless water quality sensing promises societal benefits. Our goal is to contribute to a low-cost water quality sensing system. The particular focus of this work is the selection of a database for storing water quality data. Recently, time series databases have gained popularity. This paper formulates criteria for comparison, measures selected databases and makes a recommendation for a specific database. …
Authors
Fadhel M; Sekerinski E; Yao S
Series
Advances in Intelligent Systems and Computing
Volume
909
Pagination
pp. 302-313
Publisher
Springer Nature
Publication Date
2019
DOI
10.1007/978-3-030-11434-3_33
Conference proceedings
Advances in Intelligent Systems and Computing
ISSN
2194-5357