The wifi multi-sensor calibration and FSKF estimation with OFF-Mode based on Cloud
Anekwong Yoddumnern, Thongchai Yooyativong · 2017
Most of the wireless communication use wifi technologies such as the IoT which is gaining popularity due to having a smart device. Basically, sensors have been used whereas the various utilization are processed under the analog data and digital data processing. This study aims to design a multi-sensor node. By setting all sensors on the MCU with the GPIO the sensor will only be connected to one processor (MCU). In this connection the invalided multi-sensor data value will appear when the processor startups the following: 1) When the temperature sensor does not work properly 2) The smoke sensor reads an invalid value that is higher than the actual. In this case, we can solve the situation by doing a sensor calibration-setting the calibration time with the dynamic time that follows up on the pinMode() of each sensor and self-calibrate within the FIR filter in part of the setup() portion. 3) When the system is running for a long time it should take the invalid data value, such as high or low from the actual and the value that were swinging. The reason for this case was there were inside and outside noise, or the heat has been collected in the device [14], or noise built in from another device that has been processing for a long time [10][17]. This invalidness could be solved by FSKF to filter and estimate the right data value. Finally, 4) The OFF-Mode should help save power consumption [4] and not sending data sensor all the time-this case is to save your device for working long time and in a long life [12].