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- Title
Cloud Based WiFi Multi-Sensor Network.
- Authors
Yoddumnern, Anekwong; Chaisricharoen, Roungsan; Yooyativong, Thongchai
- Abstract
A WiFi technology was run on a smart device using three types of sensors: a temperature sensor, smoke-CO, and PIR sensor. This project sought to design a multi-sensor node. All of the sensors were connected to a microcontroller unit (MCU) with a general purpose input output (GPIO). After the connection, there were invalid multi-sensor data when the processor started up. First, the temperature sensor did not work. Second, the smoke-CO sensors read an invalid value higher than the actual. This situation was solved through sensor calibration methodology following calibration time and self-calibration with a Finite Impulse Response (FIR) filter. After the system ran for a long time, there were invalid data with values different than the truth. While the system was running, there was some noise and heat collected on the device, creating invalid values. These errors were solved by using the Full Scale Kalman Filter (FSKF) to estimate the right value. Next, the OFF-Mode was used to save power consumption by 37.24% before sending the sensor data to the Cloud. These methods helped the device run a long time and work a long life. Finally, there was a high-performance WiFi multi-sensor network.
- Subjects
WIRELESS Internet; SENSOR networks; MULTISENSOR data fusion; MICROCONTROLLERS; FINITE impulse response filters
- Publication
International Journal of Online Engineering, 2018, Vol 14, Issue 8, p35
- ISSN
1868-1646
- Publication type
Article
- DOI
10.3991/ijoe.v14i08.8536