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Article

A High-Accuracy and Power-Efficient Self-Optimizing Wireless Water Level Monitoring IoT Device for Smart City

1
Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan
2
Department of Business Administration, Chung Yuan Christian University, Taoyuan City 320314, Taiwan
3
Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City 1108, Philippines
*
Authors to whom correspondence should be addressed.
Academic Editor: Tamer Nadeem
Sensors 2021, 21(6), 1936; https://doi.org/10.3390/s21061936
Received: 24 January 2021 / Revised: 24 February 2021 / Accepted: 4 March 2021 / Published: 10 March 2021
(This article belongs to the Special Issue Perceptual Deep Learning in Image Processing and Computer Vision)
In this paper, a novel self-optimizing water level monitoring methodology is proposed for smart city applications. Considering system maintenance, the efficiency of power consumption and accuracy will be important for Internet of Things (IoT) devices and systems. A multi-step measurement mechanism and power self-charging process are proposed in this study for improving the efficiency of a device for water level monitoring applications. The proposed methodology improved accuracy by 0.16–0.39% by moving the sensor to estimate the distance relative to different locations. Additional power is generated by executing a multi-step measurement while the power self-optimizing process used dynamically adjusts the settings to balance the current of charging and discharging. The battery level can efficiently go over 50% in a stable charging simulation. These methodologies were successfully implemented using an embedded control device, an ultrasonic sensor module, a LORA transmission module, and a stepper motor. According to the experimental results, the proposed multi-step methodology has the benefits of high accuracy and efficient power consumption for water level monitoring applications. View Full-Text
Keywords: Internet of Things; smart city; power saving; self-optimizing; water level monitoring; self-adapting software engineering Internet of Things; smart city; power saving; self-optimizing; water level monitoring; self-adapting software engineering
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MDPI and ACS Style

Chi, T.-K.; Chen, H.-C.; Chen, S.-L.; Abu, P.A.R. A High-Accuracy and Power-Efficient Self-Optimizing Wireless Water Level Monitoring IoT Device for Smart City. Sensors 2021, 21, 1936. https://doi.org/10.3390/s21061936

AMA Style

Chi T-K, Chen H-C, Chen S-L, Abu PAR. A High-Accuracy and Power-Efficient Self-Optimizing Wireless Water Level Monitoring IoT Device for Smart City. Sensors. 2021; 21(6):1936. https://doi.org/10.3390/s21061936

Chicago/Turabian Style

Chi, Tsun-Kuang, Hsiao-Chi Chen, Shih-Lun Chen, and Patricia A.R. Abu 2021. "A High-Accuracy and Power-Efficient Self-Optimizing Wireless Water Level Monitoring IoT Device for Smart City" Sensors 21, no. 6: 1936. https://doi.org/10.3390/s21061936

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