On the Development of Long-Range Water Quality Monitoring System for Outdoor Aquaculture Objects
DOI:
https://doi.org/10.2478/ecce-2022-0005Keywords:
Environmental monitoring, LoRaWAN networks, radio communication, wireless sensor networksAbstract
The paper is dedicated to the development of hardware and software components for the autonomous water quality monitoring system (WQMS) for fishing farms. The system can measure main water quality parameters, storing and processing data on the remote server. The LoRaWAN technological solutions and infrastructure are utilized, providing the optimal tradeoff between data transmission range and adaptive power consumption. The main implementation and exploitation issues are described, and the proposed solutions are provided.References
D. C. Little, R. W. Newton, and M. C. M. Beveridge, “Aquaculture: a rapidly growing and significant source of sustainable food? Status, transitions and potential,” Proceedings of the Nutrition Society, vol. 75, no. 3, pp. 274–286, 2016. https://doi.org/10.1017/S0029665116000665
A. Litvinenko and E. Bekeris, “Probability distribution of multiple-access interference in chaotic spreading codes based on DS-CDMA communication system,” Elektronika ir Elektrotechnika, vol. 123, no. 7, pp. 87–90, Sep. 2012. https://doi.org/10.5755/j01.eee.123.7.2380
D. D. Anstrangs, D. Cirjulina, R. Babajans, S. Tjukovs, and A. Litvinenko, “Encoded chaos shift keying communication system,” in 2020 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW), vol. 1, Riga, Latvia, 2020, pp. 243–248. https://doi.org/10.1109/MTTW51045.2020.9245048
Y. Atoum, S. Srivastava, and X. Liu, “Automatic feeding control for dense aquaculture fish tanks,” IEEE Signal Processing Letters, vol. 22, no. 8, pp. 1089–1093, Aug. 2014. https://doi.org/10.1109/LSP.2014.2385794
C. Encinas, E. Ruiz, J. Cortez, and A. Espinoza, “Design and implementation of a distributed IoT system for the monitoring of water quality in aquaculture,” in 2017 Wireless Telecommunications Symposium (WTS), Chicago, IL, USA, Apr. 2017, pp. 1–7. https://doi.org/10.1109/WTS.2017.7943540
Y. Ma and W. Ding, “Design of intelligent monitoring system for aquaculture water dissolved oxygen,” in 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China, Oct. 2018, pp. 414–418. https://doi.org/10.1109/IAEAC.2018.8577649
T. Abinaya, J. Ishwarya, and M. Maheswari, “A novel methodology for monitoring and controlling of water quality in aquaculture using Internet of Things (IoT),” in 2019 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, Jan. 2019, pp. 1–4. https://doi.org/10.1109/ICCCI.2019.8821988
M. Lafont, S. Dupont, P. Cousin, A. Vallauri, and C. Dupont, “Back to the future: IoT to improve aquaculture: Real-time monitoring and algorithmic prediction of water parameters for aquaculture needs,” in 2019 Global IoT Summit (GIoTS), Aarhus, Denmark, Jun. 2019, pp. 1–6. https://doi.org/10.1109/GIOTS.2019.8766436
K. S. S. Javvaji and M. A. Hussain, “Prototype of aquaculture using IoT technologies,” In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, Jul. 2020, pp. 1–4. https://doi.org/10.1109/ICCCNT49239.2020.9225519
K. R. S. R. Raju and G. H. K. Varma, “Knowledge-based real-time monitoring system for aquaculture using IoT,” in 2017 IEEE 7th international advance computing conference (IACC), Hyderabad, India, Jan. 2017, pp. 318–321. https://doi.org/10.1109/IACC.2017.0075
J.-H. Chen, W.-T. Sung, and G.-Y. Lin, “Automated monitoring system for the fish farm aquaculture environment,” in 2015 IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, Oct. 2015, pp. 1161–1166. https://doi.org/10.1109/SMC.2015.208
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Dmitrijs Pikulins et al., published by Sciendo
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
