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Modeling wireless sensor networks radio frequency signal loss in corn environment

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Abstract

In order to arrange cornfield wireless sensor network nodes rationally, fields of corn were studied in signal loss of 2.4GHZ wireless sensor radio frequency signal, and selecting 3 levels of planting density the field random test were carried out with the transmission distance and antenna height as influencing factors, and then curve fitting and analysis were made by MATLAB simulation. Research shows that different planting density has certain influence on signal attenuation degree, when planting density, intensive plants as well as plant’s scattering, reflection and diffuse will be more serious, leading to the increase of slope signal attenuation; in RF signal propagation model, environmental impact factors and antenna height exist linear relationship, establishing the mathematical model, its correlation between theory value and measurement value is in 0.937 and 0.9888.

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Acknowledgments

Foundation item: he Key Subject of the Twelfth-five Scientific Research in the Education Department of Jilin Province (No.: 201356).

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Authors and Affiliations

  1. Information Technology Teaching and Management Center, Jilin Agricultural University, Changchun, 130118, China

    He Pan, Ying Shi, Xin Wang & Taihao Li

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  1. He Pan
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  2. Ying Shi
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  3. Xin Wang
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  4. Taihao Li
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Correspondence to Taihao Li.

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Pan, H., Shi, Y., Wang, X. et al. Modeling wireless sensor networks radio frequency signal loss in corn environment. Multimed Tools Appl 76, 19479–19490 (2017). https://doi.org/10.1007/s11042-015-3150-z

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  • DOI: https://doi.org/10.1007/s11042-015-3150-z

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