International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Statistical Location Estimation in Container-Grown Seedlings Based on Wireless Sensor Networks

  • Received : 2014.10.17
  • Accepted : 2014.12.05
  • Published : 2014.12.31
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Abstract

This paper presents a sensor location decision making method respect to Container-Grown Seedlings in view of precision agriculture (PA) when sensors involved in tree container measure received signal strength (RSS) or time-of-arrival (TOA) between themselves and neighboring sensors. A small fraction of sensors in the container-grown seedlings system have a known location, whereas the remaining locations must be estimated. We derive Rao-Cramer bounds and maximum-likelihood estimators under Gaussian and log-normal models for the TOA and RSS measurements, respectively.

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References

  1. A. H. Carles, L. Thierry, L. Yonghua, N. Navid, W. Thomas, and A. Z. Jesus, Machine-to-machine: An emerging communication paradigm. Trans. on Emerging Telecommunications Technologies, Vol. 24, Issue 4, pp. 353-354, June 2013. https://doi.org/10.1002/ett.2668
  2. D. D. McCrady, L. Doyle, H. Forstrom, T. Dempsy, and M. Martorana. Mobile ranging with low accuracy clocks, IEEE Trans. Microwave Theory Tech., vol. 48, pp. 951-957, June 2000. https://doi.org/10.1109/22.846721
  3. J. M. Rabaey, M. J. Ammer, J. L. da Silva, Jr., D. Patel, and S. Roundy. Picorodio supports ad hoc ultra-low power wireless networking, IEEE Comput., vol. 33, pp. 42.48, July 2000. https://doi.org/10.1109/2.869369
  4. T. S. Rappaport. Wireless Communications: Principles and Practice. Englewood Cliffs, NJ: Prentice-Hall, 1996.