Power Optimization of LoRaWAN Wireless End Sensor Node

Asenov, Stanislav; Tokmakov, Dimitar

doi:10.1109/et50336.2020.9238204

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…ESP32 is suitable for this application because it has a minimum power consumption. Based on [19], [20], the power consumption can be reduced using the sleep mode function. Moreover, ESP32, programmed using Arduino IDE based on C/C++, was fast in executing time [21].…”

Section: E Discussionmentioning

confidence: 99%

IoT Sea Level Monitoring Development and Field Testing Study

Kusuma,

Akbar,

Suhendra

et al. 2023

ECT

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The measurement of sea level is essential to oceanography because it provides vital information about the ocean environment, such as tides, currents, and water temperature. This research aimed to develop an Internet of Things (IoT)-based sea level monitoring device that can precisely measure sea level and transmit data in real time. An ESP32 microcontroller, a GSM module, an MS5803-14BA sensor, and a battery constituted the device. To protect the electronics from the ocean environment, the components were assembled on a PCB board and placed within a waterproof box. The field test was conducted for 17 hours at the Class 1 Navigation Office Port in Tanjungpinang, and the Ubidots platform was used to monitor the data. The device accurately measured sea level with an RMSE of 0.69 cm and an accuracy rate of 99.47%, according to the results. However, the field test also revealed problems with data transmission, with 18.81% of the data not being transmitted to the server. This low data transmission rate may have been caused by low RSSI levels and signal quality issues with the operator. To understand the causes of these data losses and improve the device's overall performance, additional research is required. This study demonstrated the viability of utilizing an Internet of Things-based sea level monitoring device to precisely measure sea level and transmit data in real time. It provides valuable information for the improvement and further development of sea level monitoring systems.

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Section: E Discussionmentioning

confidence: 99%

IoT Sea Level Monitoring Development and Field Testing Study

Kusuma,

Akbar,

Suhendra

et al. 2023

ECT

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“…The BMP280 can measure air pressure from 30 -110 kPa. In addition, the BMP280 has small dimensions and low power consumption [1]- [4]. Several studies have demonstrated the implementation of the BMP280 sensor in a device [5]- [9].…”

Section: Introductionmentioning

confidence: 99%

Sensor BMP280 Statistical Analysis for Barometric Pressure Acquisition

Kusuma

Oktavia

Nugaraha

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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BMP280 sensor is widely used to measure air pressure. Accuracy and precision are parameters used to indicate the performance of a sensor. This study examined the BMP280 sensor performance by measuring the air pressure on 15 sensors compared with BMKG devices as a reference standard. This measurement was conducted in BMKG class III Tanjungpinang from 20-22 May 2022. BMP280 Sensor performance analysis was performed using a statistical analysis one-way ANOVA method, Tukey test, linear regression, and root mean square error. Based on the results of one-way ANOVA, it is found that there is a BMP280 sensor that is different from the others. The Tukey test found that ID sensors 6 & 14 are not significantly different, ID sensors 1 & 4 are not significantly different, sensors 15 & BMKG are not significantly different, and sensors 3 and 9 are not significantly different. In addition, the results of linear regression and RMSE show an increase in the accuracy of the BMP280 sensor reading. Linear regression makes sensor measurement more accurate due to the small RMSE value.

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Evaluating the Energy Consumption of ESP32 Microcontroller for Real-Time MQTT IoT-Based Monitoring System

Syahmi Md Dzahir,

Seng Chia

2023

2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

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Power Optimization of LoRaWAN Wireless End Sensor Node

Cited by 4 publications

References 5 publications

IoT Sea Level Monitoring Development and Field Testing Study

IoT Sea Level Monitoring Development and Field Testing Study

Sensor BMP280 Statistical Analysis for Barometric Pressure Acquisition

Evaluating the Energy Consumption of ESP32 Microcontroller for Real-Time MQTT IoT-Based Monitoring System

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