LoRa based sensor and actuator networks in smart livestock farming applications

• Autorzy: Hoang Duc Chinh , Pham Van Minh , Tran Quoc Khanh , Krishnanand K.R. , Hoang Anh

Identyfikatory

DOI

10.15439/2021R23

• Konferencja: Sixth International Conference on Research in Intelligent and Computing
• Języki publikacji: EN

Abstrakty

EN

Fast growth of farming activities in Vietnam requires employment of new technologies in data acquisition, control, and communication to make them operate more efficiently. In livestock farming applications, environmental condition monitoring and control are essential to maintain good comfort for the animal, reduce the farmworker's workload, and minimize the risk of disease spread. In this work, a wireless sensor and actuator system based on LoRa protocol is developed to deploy in hog farms. The ambient temperature and air quality information is acquired and processed. The data is then utilized for automated control of the cooling fans to comfort the animal in the barns. Besides, long term data collection can be also used to understand the system comprehensively and thus facilitate the farm owner to enhance the farming operation subsequently. A graphical user interface is also provided for the operator to supervise the system and intervene if necessary. Experimental results are provided to demonstrate the performance of the whole system.

Słowa kluczowe

EN

LoRa; wireless sensor; actuator networks; smart farming

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2021
• Tom: Vol. 27
• Strony: 45--48
• Opis fizyczny: Bibliogr. 14 poz., fot., rys., tab.

Twórcy

autor

Hoang Duc Chinh

• Hanoi University of Science and Technology Hanoi, Vietnam

autor

Pham Van Minh

• Hanoi University of Science and Technology Hanoi, Vietnam

autor

Tran Quoc Khanh

• Hanoi University of Science and Technology Hanoi, Vietnam

autor

Krishnanand K.R.

• Berkeley Education Alliance for Research Singapore, Singapore

autor

Hoang Anh

• Hanoi University of Science and Technology Hanoi, Vietnam

Bibliografia

• 1. Tamoghna Ojha, Sudip Misra, N. Singh Raghuwanshi: “Wireless sensor networks for agriculture: The state of the art in practice and future challenges”. In: Computers and Electronics in Agriculture, vol. 118, pp. 66-84 (2015).
• 2. T. Wark, D. Swain, C. Crossman, P. Valencia, G. Bishop Hurley and R. Handcock: “ Sensor and Actuator Networks: Protecting Environmentally Sensitive Areas “. In: IEEE Pervasive Computing, vol. 8, no. 1, pp. 30-36 (2009).
• 3. Usmonov, M., Gregoretti, F.: “Design and implementation of a LoRa based wireless control for drip irrigation systems”. In: 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE), pp. 248–253 (2017).
• 4. Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal: “Wireless sensor network survey”. In: Computer Networks, vol. 52, issue 12, pp. 2292-2330 (2008).
• 5. A. Molina Garcia, J. A. Fuentes, E. Gomez Lazaro, A. Bonastre, J. C. Campelo and J. J. Serrano: “Development and Assessment of a Wireless Sensor and Actuator Network for Heating and Cooling Loads”. In: IEEE Transactions on Smart Grid, vol. 3, no. 3, pp. 1192-1202 (2012).
• 6. Antonio Franco Salas, Diego Luis Valera, Araceli Peña: “Energy Efficiency in Greenhouse Evaporative Cooling Techniques: Cooling Boxes versus Cellulose Pads”. In: Energies 7(3):1427-1447 (2014).
• 7. Martin C. Bor, Utz Roedig, Thiemo Voigt, and Juan M. Alonso: “Do LoRa Low Power Wide Area Networks Scale”. In: Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM '16). Association for Computing Machinery, NY, USA, pp. 59–67 (2016).
• 8. U. Noreen, A. Bounceur and L. Clavier: “A study of LoRa low power and wide area network technology” . In: 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Fez, pp. 1-6 (2017).
• 9. Meonghun Lee, Haengkon Kim, Ha Jin Hwang, Hyun Yoe: “IoT Based Management System for Livestock Farming”. In: Computer Science and Ubiquitous Computing, CUTE 2018, CSA 2018, LNEE, vol. 536, pp. 195-200, Springer Singapore (2019).
• 10. Qiulan Wu, Chuanqi Zhao, Yong Liang, Dalei Zhang, Junmeng Hao: “Farmland Information Acquisition System Based on LoRa Wireless Sensor Network”. In: Computer and Computing Technologies in Agriculture XI (CCTA 2017), IFIP Advances in Information and Communication Technology, vol. 545, pp. 529-539 Springer (2017).
• 11. St. Penkov, A. Taneva, M. Petrov, On-line Monitoring System with LoRaWAN, IFAC-PapersOnLine, vol. 52, 25, 2019, pp. 533-538.
• 12. Meonghun Lee, Haengkon Kim, Ha Jin Hwang, Hyun Yoe: “IoT Based Management System for Livestock Farming”. In: Computer Science and Ubiquitous Computing, CUTE 2018, CSA 2018, LNEE, vol. 536, pp. 195-200, Springer Singapore (2019).
• 13. Hajder, Piotr & Hajder, Mirosław & Liput, Mateusz & Nycz, Mariusz. : “Direct communication of edge elements in the Industrial Internet of Things”. In Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, ACSIS, vol. 23, pp. 35–42 (2020).
• 14. Puri, V., Priyadarshini, I., Kumar, R. et al.: “Smart contract based policies for the Internet of Things”. In Cluster Computing, vol. 24, pp. 1675–1694 (2021).

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).