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Wireless Underground Sensor Communication Using Acoustic Technology.
Al Moshi, Md Adnan; Hardie, Marcus; Choudhury, Tanveer; Kamruzzaman, Joarder.
Afiliación
  • Al Moshi MA; Centre for Smart Analytics (CSA), Federation University Australia, Churchill, VIC 3842, Australia.
  • Hardie M; Cooperative Research Centre for High Performance Soils (Soil CRC), Callaghan, NSW 2308, Australia.
  • Choudhury T; Cooperative Research Centre for High Performance Soils (Soil CRC), Callaghan, NSW 2308, Australia.
  • Kamruzzaman J; Tasmanian Institute of Agriculture (TIA), University of Tasmania, Sandy Bay, Hobart, TAS 7005, Australia.
Sensors (Basel) ; 24(10)2024 May 14.
Article en En | MEDLINE | ID: mdl-38793963
ABSTRACT
The rapid advancement toward smart cities has accelerated the adoption of various Internet of Things (IoT) devices for underground applications, including agriculture, which aims to enhance sustainability by reducing the use of vital resources such as water and maximizing production. On-farm IoT devices with above-ground wireless nodes are vulnerable to damage and data loss due to heavy machinery movement, animal grazing, and pests. To mitigate these risks, wireless Underground Sensor Networks (WUSNs) are proposed, where devices are buried underground. However, implementing WUSNs faces challenges due to soil heterogeneity and the need for low-power, small-size, and long-range communication technology. While existing radio frequency (RF)-based solutions are impeded by substantial signal attenuation and low coverage, acoustic wave-based WUSNs have the potential to overcome these impediments. This paper is the first attempt to review acoustic propagation models to discern a suitable model for the advancement of acoustic WUSNs tailored to the agricultural context. Our findings indicate the Kelvin-Voigt model as a suitable framework for estimating signal attenuation, which has been verified through alignment with documented outcomes from experimental studies conducted in agricultural settings. By leveraging data from various soil types, this research underscores the feasibility of acoustic signal-based WUSNs.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Suiza