2024, issue 2, p. 74-86
Received 04.04.2024; Revised 24.04.2024; Accepted 28.05.2024
Published 09.06.2024; First Online 14.06.2024
https://doi.org/10.34229/2707-451X.24.2.8
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UDC 681.7.08:004.03; 004.67; 004.75
The Main Aspects of Wireless Sensor Nodes for Digital Agriculture
Hanna Antonova 
V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, Kyiv
Correspondence: This email address is being protected from spambots. You need JavaScript enabled to view it.
Introduction. Wireless sensor networks are a part of information and communication technologies and the basis of the Internet of Things technologies. Data are collected, transmitted and processed in real time with the wireless sensor networks. The typical WSN consists of the large number wireless sensor nodes and the coordinator. The wireless network is based on wireless communication standards. Today, WSNs are used in the variety of industries such as medicine, military and digital agriculture.
The purpose is to provide a comprehensive analysis of a wireless sensor node for use in digital agriculture.
Results. The author analysed wireless communication standards for use in digital agriculture. The typical wireless node architecture is analysed. The parameters of the wireless node are identified. The types of Energy Harvesting Systems (EHS) and their functions are reviewed and analysed. Based on the requires of the wireless node for digital agriculture, the list of photovoltaic energy converters is proposed. In addition, the list of power management integrated circuits is suggested for the Energy Harvesting System. A Classification of Power Supplies for Wireless Sensor Nodes and Networks are developed. The types of sensors for use in digital agriculture are analysed.
Conclusions. The main wireless communication standards for digital agriculture are Wi-Fi, IEEE 802.15.4, ZigBee, Bluetooth 4.0, GPRS, 4G, LoRaWAN and NB-IoT. The parameters of the wireless node are identified for further modelling. The list of photovoltaic energy converters is given. The types of power management integrated circuits are proposed. The classification enable to simplify the selection of WSN power supplies for network development. Based on the analysis of sensor parameters for digital agriculture, it is concluded that practically there are no wireless sensors on the world market for the express estimation of plants state.
Keywords: wireless sensor node, wireless sensor network, digital agriculture, Energy Harvesting Systems, Internet of Things.
Cite as: Antonova H. The Main Aspects of Wireless Sensor Nodes for Digital Agriculture. Cybernetics and Computer Technologies. 2024. 2. P. 74–86. (in Ukrainian) https://doi.org/10.34229/2707-451X.24.2.8
References
1. Antonova H., Kovyrova O. Wireless technologies as part of the agriculture digitalization. Computer means, networks and systems. 2018. 17. P. 53–59. (in Ukrainian) http://nbuv.gov.ua/UJRN/Kzms_2018_17_10
2. http://breakthrough.unglobalcompact.org/disruptive-technologies/digital-agriculture (accessed: 16.03.2024)
3. https://www.wi-fi.org/ (accessed: 10.01.2024)
4. https://standards.ieee.org/ (accessed: 10.01.2024)
5. https://ezzigbee.com/ (accessed: 10.01.2024)
6. https://www.bluetooth.com/ (accessed: 10.01.2024)
7. https://lora-alliance.org/about-lorawan/ (accessed: 10.01.2024)
8. https://www.i-scoop.eu/internet-of-things-iot/lpwan/nb-iot-narrowband-iot/ (accessed: 10.01.2024)
9. DSTU 50160:2014. Characteristics of power supply voltage in electrical networks of general purpose. (in Ukrainian) https://dnaop.com/html/61662/doc-%D0%94%D0%A1%D0%A2%D0%A3_EN_50160_2014
10. https://www.en-standard.eu / (accessed: 22.12.2023)
11. https://www.powerstream.com/li-cylindrical.htm (accessed: 14.12.2023)
12. https://www.powerstream.com/thin-lithium-ion.htm (accessed: 14.12.2023)
13. https://www.powerstream.com/ultra-light.htm (accessed: 14.12.2023)
14. https://www.un.org/en/climatechange/what-is-renewable-energy (accessed: 14.12.2023)
15. https://www.iea.org/energy-system/renewables (accessed: 14.12.2023)
16. Engmann F., Katsriku F.A., Jamal-Deen Abdulai , Kofi Sarpong Adu-Manu K.S., Banaseka F.K. Prolonging the Lifetime of Wireless Sensor Networks: A Review of Current Techniques. Hindawi Wireless Communications and Mobile Computing.Vol. 2018, Article ID 8035065. 23 p. https://doi.org/10.1155/2018/8035065
17. Shokoor F., Shafik W. Harvesting energy overview for sustainable wireless sensor networks. Journal of Smart Cities and Society. 2023. Vol. 2. No. 4. Р. 165–180. https://doi.org/10.3233/SCS-230016
18. Persson E. Energy Harvesting for Wireless Sensor Networks. UPTEC E19 014 Examensarbete 30 hp June 2019. Tryckt av: Uppsala ISSN: 1654-7616, UPTEC E19 014. P.70.
19. https://geopard.tech/blog/what-are-the-types-of-sensors-used-in-agriculture/ (accessed: 24.01.2024)
20. https://www.niubol.com/Product-catalog/, (accessed: 24.01.2024)
21. https://www.milesight.com/solution/smart-agriculture (accessed: 24.01.2024)
22. https://store.comwintop.com/ (accessed: 24.01.2024)
23. https://www.vaisala.com (accessed: 24.01.2024)
24. Romanov V., Galelyuka I., Antonova H., Kovyrova O., Hrusha V., Voronenko O. Application of wireless sensor networks for digital agriculture. Proceeding of the 10th IEEE International conference on «Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications», IDAACS'2019. Metz, France, September 18–21, 2019. Р. 340–344. https://dl.acm.org/doi/abs/10.1109/IDAACS.2019.8924267
25. Romanov V., Galelyuka I., Hrusha V., Voronenko O., Kovyrova O., Antonova H., Kedych A. Wireless Sensor Networks for Digital Agriculture, Environmental Protection, and Healthcare. Cybernetics and Systems Analysis. 2023. Vol. 59. No. 6. P. 1023–1030. https://doi.org/10.1007/s10559-023-00638-3
ISSN 2707-451X (Online)
ISSN 2707-4501 (Print)
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