TY - GEN
T1 - Investigating IoT-LoRa Technology for the Underwater System Application
AU - Christopher, Jonathan Panangian
AU - Damayanti, Sito Dewi
AU - Suryanegara, Muhammad
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper reports our initial results of research concerning the feasibility of Internet-of-Things Long-Range (IoT-LoRa) communications technology for the underwater system application. We present the initial testing results of the IoT-LoRa system underwater on three different types of water, i.e., swimming pool water, seawater, and lake water. The experiments are carried out with a depth of 10 cm from the water surface, and distances between the LoRa transmitter and receiver are 2 m, 5 m, and 8 m. Those three types of water signify the variance in water's turbidity, while RSSI and SNR are the performance parameters to be measured. The results show that the types of water and their turbidity level affect the LoRa signal transmission coverage, while RSSI and SNR values fluctuate underwater. The best RSSI and SNR values were achieved in swimming pool water, while the worst were in the seawater. Subsequently, this paper discusses the potential underwater service application and future research plans.
AB - This paper reports our initial results of research concerning the feasibility of Internet-of-Things Long-Range (IoT-LoRa) communications technology for the underwater system application. We present the initial testing results of the IoT-LoRa system underwater on three different types of water, i.e., swimming pool water, seawater, and lake water. The experiments are carried out with a depth of 10 cm from the water surface, and distances between the LoRa transmitter and receiver are 2 m, 5 m, and 8 m. Those three types of water signify the variance in water's turbidity, while RSSI and SNR are the performance parameters to be measured. The results show that the types of water and their turbidity level affect the LoRa signal transmission coverage, while RSSI and SNR values fluctuate underwater. The best RSSI and SNR values were achieved in swimming pool water, while the worst were in the seawater. Subsequently, this paper discusses the potential underwater service application and future research plans.
KW - LoRa
KW - RSSI
KW - SNR
KW - Turbidity
UR - http://www.scopus.com/inward/record.url?scp=85189941050&partnerID=8YFLogxK
U2 - 10.1109/ICRAIE59459.2023.10468069
DO - 10.1109/ICRAIE59459.2023.10468069
M3 - Conference contribution
AN - SCOPUS:85189941050
T3 - 8th International Conference on Recent Advances and Innovations in Engineering: Empowering Computing, Analytics, and Engineering Through Digital Innovation, ICRAIE 2023
BT - 8th International Conference on Recent Advances and Innovations in Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2023
Y2 - 2 December 2023 through 3 December 2023
ER -