Low-cost sensor node based on electrochemical sensor module for wireless sensor network

Abstract

The low-cost sensor is now widely used in various applications ranging from the environment to daily live application. On the other hand, the low-cost sensor signal is dealing with noises due to external disturbances, quality of sensor material, or electronic circuits. The raw data provided by the low-cost sensor is also still in digital n-bit data and needs to convert. This research investigated the low-cost sensor node as part of the Wireless Sensor Network (WSN) for carbon monoxide (CO) measurement based on the electrochemical sensor module. Although the measurement signal consists of noise, a digital IIR filter attenuated this noise. By applying the Response Surface Method (RSM), the 10-bit data of the sensor has been calibrated to the commercially CO detector and resulted in the square transfer function equation. The sensor node measurement performance has a strong correlation (R2=0.98) with the performance of the sensor module in the wireless sensor node system. The data has been transmitted well to a gateway with needed settling time about 5 minutes for getting stable measurement conditions. The results show that various applications can use this low-cost sensor.