Filtering for Data Acquisition on Wireless Sensor Network

The main source of data sensor is measurement that performed on a physical phenomenon or phenomenon that has been modeled. The obtained data from the sensor measurement may yield errors during measurement. The error may be caused by noise that is coming from the environment where the sensor is installed. The filtering process for the less accurate sensor readings is needed. In this research, two types filtering processes of sensors are used for the sensor node of early detection for landslide disaster in an IoT-based wireless sensor network system. The sensors are an IMU sensor MPU6050 and FC-28 for the moisture sensor. The obtained angular data from the MPU6050 sensor is the result of combining data from accelerometer and gyroscope sensors using complementary filter method. As for the FC-28 humidity sensor uses the R-C low pass filter to get a more accurate reading of soil moisture. The obtained data of sensor with filter indicates the more stable reading results.