Ultra-Low Power MEMS Inertial Switch Based Wake-Up Wireless Sensing Node for Door Lock Monitoring

Ultra-Low Power MEMS Inertial Switch Based Wake-Up Wireless Sensing Node for Door Lock Monitoring

2023 IEEE SENSORS

10.1109/SENSORS56945.2023.10325046

http://dx.doi.org/10.1109/sensors56945.2023.10325046

Sagnik Ghosh, Duan Jian Goh, Zhongshi Hu, Jaibir Sharma, Yong Shun Teo, Marlon McCarthy, Prakasha Chigahalli Ramegowda, Wei Da Toh, Weiguo Chen, Arulchozhan Murugan, Yao Zhang, Yoshishige Tsuchiya, Amit Lal, Joshua E.-Y. Lee, Yul Koh

28 November 2023

Ghosh, S., Goh, D. J., Hu, Z., Sharma, J., Teo, Y. S., McCarthy, M., Ramegowda, P. C., Toh, W. D., Chen, W., Murugan, A., Zhang, Y., Tsuchiya, Y., Lal, A., Lee, J. E.-Y., & Koh, Y. (2023, October 29). Ultra-Low Power MEMS Inertial Switch Based Wake-Up Wireless Sensing Node for Door Lock Monitoring. 2023 IEEE SENSORS. https://doi.org/10.1109/sensors56945.2023.10325046

We present the first demonstration of our eventdriven ultra-low power MEMS inertial switch for dry cabinet door lock monitoring. The MEMS inertial switch is integrated into a wireless sensing node (WSN) which houses a commercial accelerometer (ADXL355) and Bluetooth Low Energy (BLE) module to detect the door lock status. Upon the acceleration generated by unlocking of the dry cabinet, the MEMS inertial switch is turned on and wakes up the BLE module and the accelerometer sequentially. After wake-up, the BLE module streams the accelerometer data to a remote PC tracking the activities on the dry cabinet door. The inertial switch successfully detects the door unlock events and wakes up the WSN to stream the accelerometer data for 2 hours. The data signature of the accelerometer is able to classify the status of the opening, closure and locking of door.

Publisher Copyright

This research / project is supported by the A*STAR - Nanosystems at the Edge”
Grant Reference no. : A18A4b0055

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https://oar.a-star.edu.sg/communities-collections/articles/20357

1558-1748

Institute of Microelectronics