Self-Powered End-to-End Wireless Sensor Network for Geophysical Explorations

The underground layers of the Earth contain immense resources that require geophysical surveys. This article presents an end-to-end, self-powered wireless sensor network (WSN) for geophysical surveys. The WSN conducts geophysical surveys in an energy-efficient, portable manner. It includes a sensing element, advanced electronics, data processing and digitization, and wireless transmission with networking capabilities between sensing nodes. The system is equipped with a power management module with solar-powered charging capabilities, allowing for at least six days of effective operation on a few hours' worth of charge. The electronic circuitry performing amplification and filtering provides cut-off frequencies of 8.2–108 Hz, and the sensor node exhibits a sampling frequency of 600 SPS. Furthermore, the system implements power modes (active/sleep) to reduce power consumption, with a nominal power usage of only 650 mW at its maximum. The WSN comprises a multihop implementation with smart routing to ensure power-efficient and reliable data transmission. In addition, message encryption is implemented for enhanced wireless security. A field test was conducted to validate the proposed geophysical data acquisition system. Geophysical signals were detected and wirelessly transmitted over a 200 m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> area employing a network of six nodes to a storage unit, where they were successfully reconstructed and remained stored for later processing and analysis.

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Publication Details

Journal
IEEE Systems Journal
Published
2025-02-18
DOI
https://doi.org/10.1109/jsyst.2025.3532698
Citations
1
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
4.99

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article

Self-Powered End-to-End Wireless Sensor Network for Geophysical Explorations

Hussein Attia, Suhail Al–Dharrab, Jhonathan P. Rojas, Rayan Almazyad et al.
1 citations
IEEE Systems Journal
Inertial Sensor and Navigation
4.99
article

Self-Powered End-to-End Wireless Sensor Network for Geophysical Explorations

Hussein Attia, Suhail Al–Dharrab, Jhonathan P. Rojas, Rayan Almazyad, Abdulaziz Al Hayyah, Ahmed Alruhaiman, Mohammed Almusharraf
article en
1 citations

Abstract

The underground layers of the Earth contain immense resources that require geophysical surveys. This article presents an end-to-end, self-powered wireless sensor network (WSN) for geophysical surveys. The WSN conducts geophysical surveys in an energy-efficient, portable manner. It includes a sensing element, advanced electronics, data processing and digitization, and wireless transmission with networking capabilities between sensing nodes. The system is equipped with a power management module with solar-powered charging capabilities, allowing for at least six days of effective operation on a few hours' worth of charge. The electronic circuitry performing amplification and filtering provides cut-off frequencies of 8.2–108 Hz, and the sensor node exhibits a sampling frequency of 600 SPS. Furthermore, the system implements power modes (active/sleep) to reduce power consumption, with a nominal power usage of only 650 mW at its maximum. The WSN comprises a multihop implementation with smart routing to ensure power-efficient and reliable data transmission. In addition, message encryption is implemented for enhanced wireless security. A field test was conducted to validate the proposed geophysical data acquisition system. Geophysical signals were detected and wirelessly transmitted over a 200 m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> area employing a network of six nodes to a storage unit, where they were successfully reconstructed and remained stored for later processing and analysis.

IEEE Systems JournalVol. 19(1)
King Fahd University of Petroleum and Minerals (SA)
King Fahd University of Petroleum and Minerals
Openalex Percentile: Top 7%
Inertial Sensor and Navigation
4.99
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Self-Powered End-to-End Wireless Sensor Network for Geophysical Explorations — Hussein Attia, Suhail Al–Dharrab, et al. · IEEE Systems Journal (2025) | TGRS Research Map | TGRS