TY - GEN
T1 - Rainfall intensity datalogger system. Lopy4-based design and implementation
AU - Placencia, Sebastian
AU - Astudillo-Salinas, Fabian
AU - Vazquez-Rodas, Andres
AU - Minchala, Luis I.
AU - Guaman, Jhonny
N1 - Publisher Copyright:
© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/11/25
Y1 - 2019/11/25
N2 - The data record of the amount of rain is important for the monitoring and control of watersheds for water and soil conservation. Even more important is to be able to keep this information as up-to-date with a short latency and low cost. This article presents the design and implementation of a rainfall intensity data recording system based on the LoPy4 development board. This implementation integrates the acquisition, storage and wirelessly transmission of the data. There is a data recording system (Station Node) and a transmission forwarding system (Gateway node). In this way, a Wireless Sensors Network (WSN) architecture is achieved by using LoRa technology. This technology offers long range and low energy consumption. The results indicate a strong correlation of the data acquired by the system designed in this article and the data recorded by the reference DAVIS station.
AB - The data record of the amount of rain is important for the monitoring and control of watersheds for water and soil conservation. Even more important is to be able to keep this information as up-to-date with a short latency and low cost. This article presents the design and implementation of a rainfall intensity data recording system based on the LoPy4 development board. This implementation integrates the acquisition, storage and wirelessly transmission of the data. There is a data recording system (Station Node) and a transmission forwarding system (Gateway node). In this way, a Wireless Sensors Network (WSN) architecture is achieved by using LoRa technology. This technology offers long range and low energy consumption. The results indicate a strong correlation of the data acquired by the system designed in this article and the data recorded by the reference DAVIS station.
UR - https://www.scopus.com/pages/publications/85077432648
U2 - 10.1145/3345860.3361513
DO - 10.1145/3345860.3361513
M3 - Contribución a la conferencia
AN - SCOPUS:85077432648
T3 - PE-WASUN 2019 - Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks
SP - 45
EP - 50
BT - PE-WASUN 2019 - Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks
PB - Association for Computing Machinery, Inc
T2 - 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2019
Y2 - 25 November 2019 through 29 November 2019
ER -