2020, issue 3, p. 90-100

Received 19.10.2020; Revised 22.10.2020; Accepted 23.10.2020

Published 27.10.2020; First Online 05.11.2020

https://doi.org/10.34229/2707-451X.20.3.9

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UDC 57801+681.7.08

Testing of the Wireless Sensor Network for the Express-Diagnostic of the State of Plant

H. Antonova *,   A. Kedych

V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, Kyiv

* Correspondence: antanna78This email address is being protected from spambots. You need JavaScript enabled to view it.

 

The authors reviewed the types of network testing. The most common are simulation modeling, mock-up modeling, and full-scale experiments. It was examined existing software environments for simulation and debugging kits for mock testing. The main definitions and terms on the theory of experiment planning are given. According to the theory of experiment planning, the authors developed a plan for conducting a full-scale experiment and defined an algorithm for testing a wireless sensor network for express diagnostics of plants' state. Network testing parameters are the quality of network communication; network formation time; network communication distance; and battery life of sensors. The preparation and process of conducting a full-scale experiment for testing a WSN sample is described in detail. Wireless sensor network testing was carried out by different clusters, at different distances in five stages. During the experiment on testing the WSN, the operation of individual network nodes was checked, and the operation of the network as a whole. During the testing period, no abnormal operation of the sensors and the coordinator was revealed. 82 measurements were made in just five stages. The communication quality of the wireless sensor network has been checked. When testing the network, the transmission of data packets from the sensors to the coordinator was mostly successful. The integral estimate of unsuccessful data transmission sessions in the network was calculated. The communication range of the network at a distance of 20, 30, 40 and 60 m was checked. A graph of the dependence of the sensor signal power on the distance was built. Statistics were obtained on the decrease in the battery charge for each sensor. Based on the results of a full-scale experiment, the operation of a wireless sensor network for express diagnostics of the state of plants is considered successful.

 

Keywords: Zigbee, wireless sensor network, sensor, full-scale experiment.

 

Cite as: Antonova H., Kedych A. Testing of the Wireless Sensor Network for the Express-Diagnostic of the State of Plant. Cybernetics and Computer Technologies. 2020. 3. P. 90–100. (in Ukrainian) https://doi.org/10.34229/2707-451X.20.3.9

 

References

           1.     Galelyuka I. Modelling of wireless sensor networks. Computer means, networks and systems. 2015. 14. P. 141–150. (in Ukraine) http://dspace.nbuv.gov.ua/handle/123456789/122854

           2.     Antonova H., Tishchenko V. Deiaki pidkhody do modeliuvannia bezdrotovykh sensornykh merezh. International scientific youth school «Systems and measures of artificial intelligence», AIIS’2018: tezy dopovidey. Kyiv. 2018, October 18–19. Kyiv: IPAI. P. 9-11. (in Ukraine)

           3.     JN516X-EK001: Evaluation kit - ZigBee, JenNet-IP, or IEEE 802.15.4 network. https://www.nxp.com/products/no-longer-manufactured/evaluation-kit-zigbee-jennet-ip-or-ieee-802-15-4-network:JN516X-EK001 (accessed 02.10.2020)

           4.     Dolgushin R.A., Kirichek R.V., Kucheryavyj A.E. Obzor vozmozhnykh vidov i metodov testirovaniya internet veshhej. Informaczionny`e tekhnologii i telekommunikaczii. 2016. 4 (2). (in Russian)

           5.     Krasovskij G.I., Filaretov G.F. Planirovanie e`ksperimenta. Mn.: BGU im. V.I. Lenina, 1982. 302 p. (in Russian)

           6.     Palagin O., Romanov V., Galelyuka I., Hrusha V., Voronenko O. Wireless Smart Biosensor for Sensor Networks in Ecological Monitoring. Proceeding of the 9th IEEE International conference on «Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications», IDAACS'2017. Bucharest, Romania. 2017, September 21 –23. Р. 679-683. https://doi.org/10.1109/idaacs.2017.8095177

           7.     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. 2019, September 18 –21. Р. 340-344. https://dl.acm.org/doi/abs/10.1109/IDAACS.2019.8924267

           8.     JN5168: ZigBee and IEEE802.15.4 wireless microcontroller with 256 kB Flash, 32 kB RAM. https://www.nxp.com/products/wireless/proprietary-ieee-802.15.4-based/zigbee-and-ieee802.15.4-wireless-microcontroller-with-256-kb-flash-32-kb-ram:JN5168 (accessed 07.09.2020)

           9.     Palagin O., Grusha V., Antonova H., Kovyrova O., Lavrentyev V. Application of Biosensors for Plants Monitoring. International Journal «Information Theories and Applications». 2017. 24 (2). P. 115-126. https://www.researchgate.net/publication/340579053_application_of_biosensors_for_plants_monitoring

 

 

ISSN 2707-451X (Online)

ISSN 2707-4501 (Print)

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