A Smart WiFi Multi-Sensor Node for Fire Detection Mechanism Based on Social Network

Authors

  • Anekwong Yoddumnern Mae Fah Luang University
  • Roungsan Chaisricharoen Mae Fah Luang University
  • Thongchai Yooyativong Mae Fah Luang University

DOI:

https://doi.org/10.3991/ijoe.v14i10.8488

Keywords:

WiFi, Multi-Sensor, Fire detection, Fuzzy logic, IFTTT, Cloud, Kalman Filter, Calibration, OFF-Mode

Abstract


A small device with WiFi multi-sensing element is very important under a social digital century. This study aims to implement the hardware and the power of the algorithm with WiFi technologies. Especially, the multi-sensors have to reinforce around a home area and support to any requirement in the term of digital society. This study focus to care the home security— on going to the fire detection with applying several technologies based on a Cloud. Firstly, the multi-sensor calibration has used calibration time and self-calibration as the Finite Impulse Response (FIR). Next, the Full-Scale Kalman Filter (FSKF) helps to fill data and estimate the accuracy data. After that, the fire detection mechanism has used Fuzzy logic to detect and send alert messages over an IFTTT process. There are changed following event-- the data range of fire proportion inside the home. Furthermore, The OFF-Mode has reduced the power consumption suddenly the WiFi module is sent the sensor data to the Cloud. Finally, the WiFi multi-sensor node will use more than one sensor as the same detector will be a high stability and high accuracy.

Author Biography

Anekwong Yoddumnern, Mae Fah Luang University

Computer Engineering

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Published

2018-10-26

How to Cite

Yoddumnern, A., Chaisricharoen, R., & Yooyativong, T. (2018). A Smart WiFi Multi-Sensor Node for Fire Detection Mechanism Based on Social Network. International Journal of Online and Biomedical Engineering (iJOE), 14(10), pp. 4–20. https://doi.org/10.3991/ijoe.v14i10.8488

Issue

Vol. 14 No. 10 (2018)

Section

Papers

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