International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Sensor Location Estimation in of Landscape Plants Cultivating System (LPCS) Based on Wireless Sensor Networks with IoT

  • Kang, Tae-Sun (Department of Landscape Architecture, Honam University) ;
  • Lee, Sang-Hyun (Department of Computer Engineering, Honam University)
  • Received : 2020.10.15
  • Accepted : 2020.10.27
  • Published : 2020.11.30
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Abstract

In order to maximize the production of landscape plants in optimal condition while coexisting with the environment in terms of precision agriculture, quick and accurate information gathering of the internal environmental elements of the growing container is necessary. This may depend on the accuracy of the positioning of numerous sensors connected to landscape plants cultivating system (LPCS) in containers. Thus, this paper presents a method for estimating the location of the sensors related to cultivation environment connected to LPCS by measuring the received signal strength (RSS) or time of arrival TOA received between oneself and adjacent sensors. The Small sensors connected to the LPCS of container are known for their locations, but the remaining locations must be estimated. For this in the paper, Rao-Cramer limits and maximum likelihood estimators are derived from Gaussian models and lognormal models for TOA and RSS measurements, respectively. As a result, this study suggests that both RSS and TOA range measurements can produce estimates of the exact locations of the cultivation environment sensors within the wireless sensor network related to the LPCS.

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References

  1. H. S. Kim, "A Comparative Study of Tree Growth by Container Material", Thesis for the Degree of Master, University of Seoul, 2020
  2. I. G. Magarino, R. Lacuesta, J. Lloret, "ABS-SmartComAgri: An Agent-Based Simulator of Smart Communication Protocols in Wireless Sensor Networks for Debugging in Precision Agriculture", Sensors(Basel), vol. 18, no. 4, 998, 2018. DOI: https://doi.org/10.3390/s18040998
  3. Ministry of Agriculture, Food and Rural Affairs, Export Information Department of Korea Agro-Fisheries & Food Trade Corporation, "Current Status and Management of Crops Using Smart Agriculture and IT Systems in the United States", Overseas Issue Survey Report, pp.2, 2019
  4. A. S. Sur, "IoT Remote Control Systeml for Smart Farm", Thesis for the Degree of Master, Jeonju University General, 2020
  5. J. M. Rabaey, M. J. Ammer, J. L. da Silva, Jr., D. Patel, and S. Roundy, "PicoRadio supports ad hoc ultra-low power wireless networking", IEEE, Computer, vol. 33, no. 7, pp. 42-48, 2000. DOI: https://doi.org/10.1109/2.869369
  6. D. D. McCrady, L. Doyle, H. Forstrom, T. Dempsy, M. Martorana, "Mobile ranging low accuracy clocks", IEEE Trans. Microwave Theory Tech., vol. 48, no. 6, pp. 951-958, 2000. DOI: https://doi.org/10.1109/22.846721
  7. A. H. Carles, L. Thierry, L. Yonghua, N. Navid, W. Thomas, A. Z. Jesus, "Machine-to-machine: An emerging communication paradigm", Trans. on Emerging Telecommunications Technologies, vol. 24, Issue 4, pp. 353-354, 2013. DOI: https://doi.org/10.1002/ett.2668
  8. T. S. Rappaport. Wireless Communications: Principles and Practice. Englewood Cliffs, NJ: Prentice-Hall, 1996.
  9. S. H. Lee, K. I. Moon, "Statistical Location Estimation in Container-Grown Seedlings Based on Wireless Sensor Networks", International Journal of Advanced Culture Technology(IJACT), vol. 2, no. 2, pp. 15-18, 2014. DOI: https://doi.org/10.17703/IJACT.2014.2.2.015.