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Wireless Underground Sensor Communication Using Acoustic Technology.

Md Adnan Al Moshi1,2, Marcus Hardie2,3, Tanveer Choudhury1,2

  • 1Centre for Smart Analytics (CSA), Federation University Australia, Churchill, VIC 3842, Australia.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
Summary
This summary is machine-generated.

Wireless Underground Sensor Networks (WUSNs) offer a solution for underground agriculture IoT. Acoustic wave-based WUSNs show promise, with the Kelvin-Voigt model effectively estimating signal attenuation in soil.

Keywords:
IoT-based moisture sensoracoustic communicationbelow ground communicationsmart citiessustainable agriculturewireless underground sensor network (WUSN)

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Area of Science:

  • Agricultural Engineering
  • Internet of Things (IoT)
  • Wireless Sensor Networks

Background:

  • Smart city initiatives drive IoT adoption for sustainable agriculture.
  • Above-ground IoT devices face risks from environmental factors and pests.
  • Wireless Underground Sensor Networks (WUSNs) are proposed to mitigate these risks.

Purpose of the Study:

  • To review acoustic propagation models for agricultural WUSNs.
  • To identify a suitable model for signal attenuation estimation in soil.
  • To assess the feasibility of acoustic WUSNs in agriculture.

Main Methods:

  • Literature review of acoustic propagation models.
  • Analysis of signal attenuation in various soil types.
  • Verification of model performance against experimental agricultural data.

Main Results:

  • The Kelvin-Voigt model is identified as a suitable framework for acoustic WUSN signal attenuation.
  • Model performance aligns with experimental findings in agricultural settings.
  • Acoustic WUSNs demonstrate feasibility across different soil conditions.

Conclusions:

  • Acoustic wave-based WUSNs present a viable alternative to RF-based systems for underground agriculture.
  • The Kelvin-Voigt model provides accurate signal attenuation estimates for agricultural WUSNs.
  • This research supports the advancement of robust WUSN technology for sustainable farming.