Impact of soil medium on the path connectivity of sensors in wireless underground sensor networks

Trang, Hoang Thi Huyen; Choi, Seong Gon; Hwang, Seong Oun

doi:10.1109/atc.2016.7764830

Cited by 10 publications

(2 citation statements)

References 13 publications

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“…Furthermore, they evaluated the performance of various multiple access schemes in [60]. The path connectivity problem for EM-based IoUT was investigated in [61] which showed that low volumetric water content and low operating frequency lead to a higher probability of connectivity. In [62], the throughput of EM-based IoUT was optimized to achieve the QoS requirement.…”

Section: B Networkingmentioning

confidence: 99%

Toward the Internet of Underground Things: A Systematic Survey

Saeed

Alouini

Al-Naffouri

2019

IEEE Commun. Surv. Tutorials

102

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This paper provides recent advances in the area of Internet of Underground Things (IoUT) with emphasis on enabling communication technologies, networking issues, and localization techniques. IoUT is enabled by underground things (sensors), communication technology, and networking protocols. This new paradigm of IoUT facilitates the integration of sensing and communication in the underground environment for various industries, such as oil and gas, agriculture, seismic mapping, and border monitoring. These applications require to gather relevant information from the deployed underground things. However, the harsh underground propagation environment including sand, rock, and watersheds do not allow the use of single communication technology for information transfer between the surface and the underground things. Therefore, various wireless and wired communication technologies are used for underground communication. The wireless technologies are based on acoustic waves, electromagnetic waves, magnetic induction and visible light communication while the wired technologies use coaxial cable and optical fibers. In this paper, state-of-art communication technologies are surveyed, and the respective networking and localization techniques for IoUT are presented. Moreover, the advances and applications of IoUT are also reported. Also, new research challenges for the design and implementation of IoUT are identified.

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Section: B Networkingmentioning

confidence: 99%

Toward the Internet of Underground Things: A Systematic Survey

Saeed

Alouini

Al-Naffouri

2019

IEEE Commun. Surv. Tutorials

102

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“…To investigate this aspect, some papers studied the effects of soil properties on connectivity. In Dung et al, 37 the path connectivity between two arbitrary sensors under various settings of soil moisture, sensor's density, operating frequency, and sensing area is investigated. They concluded that the higher the amount of water content in the soil, the higher the number of sensors is needed to achieve maximum path connectivity.…”

Section: Introductionmentioning

confidence: 99%

Regression analysis‐based identification model of key impactful parameters on buried antennas

Mejjatti

Habbani

Bouanani

2021

Int J Communication

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Summary The antenna's bandwidth is strongly dependent on its physical properties and the environment where it is located. Nevertheless, for transmitting devices embedded permanently in the soil, the propagation medium's properties are unstable due to dielectric permittivity's spatial and temporal changes. Relying on soil parameters values, we present three new multivariable regression models allowing a good fit to the dataset curves with antenna's resonant frequency variations prediction of about 98%. Precisely, such models have been obtained with the help of the multiple linear regression analysis method. Additionally, the results revealed that amongst four considered parameters (i.e., volumetric moisture, bulk density, specific density, and temperature), volumetric moisture is the most influencing factor on the antenna operating frequency band with a correlation coefficient of −0.989, whereas it equals 0.04, −0.035, and −0.002 for the temperature, bulk density, and specific density, respectively.

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