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Satellite-Based Wireless Sensor Development and Deployment Studies for Surface Wave Testing
1Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institutive of Technology, Harbin 150090, China. xupengju@hit.edu.cn.
Sensors (Basel, Switzerland)
|October 12, 2019
Summary
This study introduces a low-cost wireless seismic sensing system using satellite communication and compressive sensing (CS) for efficient data transmission. The system effectively captures ground motion and GPS data, proving viable for large-area monitoring.
Area of Science:
- Geophysics
- Wireless Sensor Networks
- Signal Processing
Background:
- Traditional cable-based seismic systems are costly and difficult to deploy for large-area monitoring.
- Existing systems lack accurate 3D geographic information and pose challenges for critical environmental sensing like volcanic eruptions.
Purpose of the Study:
- To design and implement a low-cost, wireless seismic sensing system for efficient data acquisition and transmission.
- To develop a compressive sensing (CS) algorithm for data compression and encryption, reducing transmission size and preventing data loss.
- To validate the system's feasibility for seismic testing and large-area monitoring through outdoor field experiments.
Main Methods:
- Development of a wireless sensing system comprising a portable satellite device, self-sustaining power, low-cost computational core, and high-precision accelerometer.
- Implementation of a computational-core-embedded algorithm based on compressive sensing (CS) for data compression and encryption.
- Utilizing satellite communication for data transfer to a cloud server and employing ℓ1-norm minimization for data decryption and processing.
Main Results:
- The proposed wireless sensing system successfully acquired seismic data and GPS information in an outdoor field surface wave testing.
- Data was efficiently transferred via satellite communication to a cloud-based server.
- The system demonstrated capability for large-area monitoring and potential for measurement recovery despite data package loss.
Conclusions:
- The developed low-cost wireless seismic sensing system is feasible for acquiring ground motion and GPS data via satellite communication.
- The system offers a cost-effective and expandable solution for large-area seismic monitoring, including critical environmental applications.
- The compressive sensing algorithm enhances data transmission efficiency and robustness against data loss.
