<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This case study presents a possible solution for monitoring wind induced waves in shallow water lakes. Currently widely used instruments for measuring water waves are expensive due to extreme environmental requirements and the technology used. The use of IoT solutions is not common. Water wave measurements require low power consumption and medium to long range communication. Due to the network specifications, it is not obvious that LPWAN technologies are suitable for transmitting the amount of data generated. For the devices developed, LoRaWAN was investigated as the cheapest and 5G as the most reliable network solution, with attention to energy consumption.</p>
</abstract>

This case study presents a possible solution for monitoring wind induced waves in shallow water lakes. Currently widely used instruments for measuring water waves are expensive due to extreme environmental requirements and the technology used. The use of IoT solutions is not common. Water wave measurements require low power consumption and medium to long range communication. Due to the network specifications, it is not obvious that LPWAN technologies are suitable for transmitting the amount of data generated. For the devices developed, LoRaWAN was investigated as the cheapest and 5G as the most reliable network solution, with attention to energy consumption.

IoT Sensor Network Solution for Monitoring Wind Induced Waves in Shallow Water

Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics

Budapest University of Technology and Economics

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"IoT Sensor Network Solution for Monitoring Wind Induced Waves in Shallow Water"}

This case study presents a possible solution for monitoring wind induced waves in shallow water lakes. Currently widely used instruments for measuring water...

IoT Sensor Network Solution for Monitoring Wind Induced Waves in Shallow Water

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 1 - 13

Eingereicht: 07. Juni 2023

DOI: https://doi.org/10.2478/auseme-2023-0001

Schlüsselwörter
IoT, WSN, LPWAN, LoRaWAN, 5G, Limnology, Wave monitoring

© 2023 Áron István Jászberényi, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

IoT Sensor Network Solution for Monitoring Wind Induced Waves in Shallow Water

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 1 - 13

Eingereicht: 07. Juni 2023

DOI: https://doi.org/10.2478/auseme-2023-0001

SchlüsselwörterIoT, WSN, LPWAN, LoRaWAN, 5G, Limnology, Wave monitoring

© 2023 Áron István Jászberényi, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
IoT, WSN, LPWAN, LoRaWAN, 5G, Limnology, Wave monitoring