Lora-based IoT sensor node for Real-time Flood Early Warning System

Abstract

Internet of Things (IoT) using LoRa technology has been widely used in many fields. One of them is in disaster mitigation and management. This paper presents sensor nodes as part of a Flood Early Warning System using LoRa technology. The node consists of a water level sensor and a water flow meter. Water level measurements were carried out by ultrasonic sensors HY-SRF05, and the speed of water flow is measured by water flow meter YF-S201. Communication between the nodes and the gateway is done by the BsFrance Lora32u4 II v1.4 Wireless Transceiver module. Data regarding the height of the water level and speed of water flow will be measured by the sensor and sent by the LoRa device to the gateway. The gateway then forwards that data to an open-source IoT platform for analysis and visualization. Testing ultrasonic sensor readings get an accuracy of 97.06%. Waterflow sensor testing obtained 91.96% accuracy. In addition to testing the measurement accuracy, data transmission consistency is also tested against the distance between the gateway and the node. The test results show that the data can still be sent at a space between the node and the gateway below 400 m. Above 400m, the data cannot be received by the gateway anymore. Testing delay time between reading data and receiving data on the IoT platform shows the average delivery delay of 0 ms.