Optimization of Rainfall Sensor Network Layout Based on the Correlation Coefficient Method

DOI

10.2991/icaita-16.2016.50How to use a DOI?

Keywords

Rainfall sensor network; Correlation coefficient; Rainfall forecast; Spatial correlation style

Abstract

The unreasonable layout of rain sensor networks results in various problems, such as the redundancy of observation nodes, large daily maintenance overhead, and the difficulty of solving faults in real time. A sensor network optimization algorithm based on the correlation coefficient method is proposed in this work. First, Spearman’s rank correlation coefficient is adopted to calculate the correlation of each node, and computing results are stored in databases. Second, the nodes with a significant correlation with other nodes are selected, and historical data are used to verify the selected nodes. Finally, we improve the proposed method by introducing a sub-region calculated using the DEM and growing tree method. Experiment results show that the proposed method can achieve an accurate prediction of rainfall in an entire region with the optimization of the layout of observation nodes.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongling Zhao
AU  - Haibo Yang
AU  - Zongmin Wang
PY  - 2016/01
DA  - 2016/01
TI  - Optimization of Rainfall Sensor Network Layout Based on the Correlation Coefficient Method
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 201
EP  - 205
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.50
DO  - 10.2991/icaita-16.2016.50
ID  - Zhao2016/01
ER  -