Monitoring of Movement on the Farm Using WiFi Technology

DOI 10.7160/aol.2019.110408
No 4/2019, December
pp. 85-92

Novák, V., Stočes, M., Kánská, E., Pavlík, J. and Jarolímek, J. (2019) “Monitoring of Movement on the Farm Using WiFi Technology", AGRIS on-line Papers in Economics and Informatics, Vol. 11, No. 4, pp. 85-92. ISSN 1804-1930. DOI 10.7160/aol.2019.110408.

Abstract

The paper deals with using commercial WiFi solutions that provide wireless connection to computer networks to monitor the movement of devices within that network. Current technologies, in particular in the IoT area, make it possible to place a battery sensory device on individual objects used on the farm. These sensors, in addition to their primary ability to provide connectivity, can also be used to monitor the movement of the devices they are attached to. Indirectly, it is therefore possible to monitor the movement of objects, people and animals that are associated with this WiFi or Bluetooth device. An example could be the monitoring of the feed wagon's movement on the farm, while obtaining information about the actual amount of cargo. This allows for optimizing logistics operations or track the movement of employees with fitness bracelets. The aim of the paper is to verify the possibilities of currently available commercial wifi systems and their use for monitoring movement on the farm.

Keywords

Wi-Fi, Cloud, protocols, networks, position, Meraki, Aruba, Precision Agriculture, Smart Agriculture.

References

  1. Bégué, A., Todoroff, P. and Pater, J. (2008) "Multi-time scale analysis of sugarcane within-field variability: Improved crop diagnosis using satellite time series?", Precision Agriculture, Vol. 9, No. 3, pp. 161-171. E-ISSN 1573-1618, ISSN 1385-2256. DOI 10.1007/s11119-008-9063-3.
  2. Cisco Meraki (2018) "Location Analytics Introduction" [Online]. Available: https://documentation. meraki.com/MR/Monitoring_and_Reporting/Location_Analytics [Accessed: Nov. 29,. 2019].
  3. Dalvi, A., Swamy, P. and Meshram, B. B. (2011) "Centralized management approach for WLAN", In: Das V.V., Stephen J., Chaba Y. (eds) Computer Networks and Information Technologies. CNC 2011. Communications in Computer and Information Science, vol 142. Springer, Berlin, Heidelberg, pp. 578-580. ISBN 978-3-642-19541-9. DOI 10.1007/978-3-642-19542-6_113.
  4. Elnahrawy, E., Li, X. and Martin, R. P. (2004) "The limits of localization using signal strength: A comparative study", 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON 2004. IEEE Xplore, Santa Clara, CA, USA. ISBN 0-7803-8796-1. DOI 10.1109/SAHCN.2004.1381942.
  5. ESP8266 Community Forum (2019) "WiFiClient.ino". [Online]. Available: https://github.com/ esp8266/Arduino/blob/master/libraries/ESP8266WiFi/examples/WiFiClient/WiFiClient.ino [Accessed: April 4, 2019].
  6. Fernández, M., Guerra, D., Gil, U., Trigo, I., Peña, I. and Arrinda, A. (2019) "Measurements and analysis of temporal and spatial variability of WiFi exposure levels in the 2.4 GHz frequency band", Measurement, Vol. 149, ISSN 0263-2241. DOI 10.1016/j.measurement.2019.106970.
  7. Fuchs, C., Aschenbruck, N., Martini, P. and Wieneke, M. (2011) "Indoor tracking for mission critical scenarios: A survey", Pervasive and Mobile Computing, Vol. 7, Vol. 1, pp. 1-15. ISSN 1574-1192. DOI 10.1016/j.pmcj.2010.07.001.
  8. HPE-Aruba (2019) "ARUBA CENTRAL" [Online]. Available: https://www.arubanetworks.com/ [Accessed: No. 29, 2019].
  9. Jermolajeva, E., Rivža, B., Aleksejeva, L., Šipilova, V., Ostrovska I. (2017) "Smart Growth as a Tool for Regional Convergence: Evidence from Latgale Region of Latvia", Economics and Sociology, Vol. 10, No. 4, 203-224. ISSN 2071-789X. DOI 10.14254/2071-789X.2017/10-4/16.
  10. Kola-Bezka M., Czupich M., Ignasiak-Szulc A. (2016), "Smart cities in Central and Eastern Europe: viable future or unfulfilled dream?", Journal of International Studies, Vol. 9, No. 1, pp. 76-87. E-ISSN 2306-3483, ISSN 2071-8330. DOI 10.14254/2071-8330.2016/9-1/6.
  11. Kumhálová, J. and Matějková, Š. (2017) "Yield variability prediction by remote sensing sensors with different spatial resolution", International Agrophysicsm, Vol. 31, pp. 195-202. E-ISSN 2300-8725, ISSN 0236-8722. DOI 10.1515/intag-2016-0046.
  12. Li, F., Liu, M., Zhang, Y. and Shen, W. (2019) "A two-level WiFi fingerprint-based indoor localization method for dangerous area monitoring", Sensors, Vol. 19, No. 19, pp. 42-43. ISSN 1424-822. DOI 10.3390/s19194243.
  13. Longo, E., Redondi, A. E. C. and Cesana, M. (2019) "Accurate occupancy estimation with WiFi and bluetooth/BLE packet capture", Computer Networks, 163, ISSN 1389-1286. DOI 10.1016/j.comnet.2019.106876.
  14. Parameswaran, A. T., Husain, M. I. and Upadhyaya, S. (2009) "Is RSSI a reliable parameter in sensor localization algorithms - an experimental study", IEEE International Symposium on Reliable Distributed Systems.
  15. Perez-Castillo, R., Carretero, A. G., Rodriguez, M., Caballero, I., Piattini, M., Mate, A., Kim, S. and Lee, D. (2018) "Data quality best practices in IoT environments", In: Proceedings - 2018 International Conference on the Quality of Information and Communications Technology, QUATIC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 272-275.
  16. Sanchez, D., Afonso, S., Macias, E. M. and Suarez, A. (2006) "Devices location in 802.11 infrastructure networks using triangulation", Lecture Notes in Engineering and Computer Science. pp. 938-942. E-ISSN ISSN: 2078-0966
  17. Schaubach, K. R., Davis, N. J., Rappaport, T. S. (1992) "A ray tracing method for predicting path loss and delay spread in microcellular environments", IEEE Vehicular Technology Conference 1992- May, pp. 932-935. DOI 10.1109/VETEC.1992.245274.
  18. Song, J. X., Liu, Y. F. (2011) "Design of underground mine locomotive monitoring and tracking management system", Procedia, Environmental Sciences, Vol. 10, pp. 484-490. ISSN 1878-0296.
  19. Stočes, M., Masner, J., Kánská, E. and Jarolímek, J. (2018) "Big Data in Internet of Things and Precision Agriculture", PROCEEDINGS - of the 27th International Scientific Conference Agrarian Perspectives XXVII. Food Safety – Food Security, Czech University Of Life Sciences Prague, Prague, pp. 353-358. ISBN 978-80-213-2890-7. E-ISSN 2464-4781, ISSN 1213-7960.
  20. Stočes, M., Šilerová, E., Vanĕk, J., Jarolímek, J.and Šimek, P. (2018) "Možnosti využití otevřených dat v sektoru cukr - Cukrová řepa" (in Czech), Listy cukrovarnické a řeparské, Vol. 134, pp. 117-121. E-ISSN 1805-9708, ISSN 1210-3306.
  21. Stočes, M., Vaněk, J., Masner, J. and Pavlík, J. (2016) "Internet of things (IoT) in agriculture - Selected aspects", Agris On-line Papers in Economics and Informatics, Vol. 8, No. 1, pp. 83-88. ISSN 1804-1930. DOI 10.7160/aol.2016.080108.
  22. Subhan, F., Khan, A., Saleem, S., Ahmed, S., Imran, M., Asghar, Z. and Bangash, J. I. (2019) "Experimental analysis of received signals strength in Bluetooth Low Energy (BLE) and its effect on distance and position estimation. Transactions on Emerging Telecommunications Technologies". Transaction on Energing Telecommunications Technologies. E- ISSN 2161-3915. DOI 10.1002/ett.3793.
  23. Syed Ali, A., Zanzinger, Z., Debose, D. and Stephens, B. (2016) "Open Source Building Science Sensors (OSBSS): A low-cost Arduino-based platform for long-term indoor environmental data collection", Building and Environment, Vol. 100, pp. 114-126, ISSN 0360-1323. DOI 10.1016/j.buildenv.2016.02.010.
  24. Thakare, S. and Bhagat, P. H. (2019) "Arduino-Based Smart Irrigation Using Sensors and ESP8266 WiFi Module", Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018. DOI 10.1109/ICCONS.2018.8663041.
  25. Vasisht, D., Kumar, S. and Katabi, D. (2016) "Decimeter-Level Localization with a Single WiFi Access Point", Nsdi 2016, 13th USENIX Symposium on Networked Systems Design and Implementation, Santa Clara, CA, USA.
  26. Yuan, H. and Yang, Y. (2020) "BIM Adoption under Government Subsidy: Technology Diffusion Perspective", Journal of Construction Engineering and Management, Vol. 146, No. 1. E-ISSN 1943-7862, ISSN 0733-9364. DOI 10.1061/(ASCE)CO.1943-7862.0001733.
  27. Żelazny, R. (2017) "Determinants and measurement of smart growth: evidence from Poland", Journal of International Studies, Vol. 10, No. 1, pp. 34-45. E-ISSN 2306-3483, ISSN 2071-8330. DOI 10.14254/2071-8330.2017/10-1/2.

Full paper

  Full paper (.pdf, 1.25 MB).