Sensors and Sensing Technologies for Seismic Detection and Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 195
Special Issue Editors
Interests: embedded device development; electronic devices; embedded AI; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: network protocols; wireless sensor networks; Internet of Things; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: wireless sensor networks for the Internet of Things; data fusion algorithms for array sensors; wearable sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Seismic monitoring and earthquake detection systems are essential tools for assessing earthquake risk, interpreting geological activity, and facilitating quick and responsive disaster management to mitigate the impact of seismic events on human lives and infrastructures.
Recent advances in sensing technologies have the potential to improve the performance of seismic monitoring systems. This includes low-cost sensors and advancements in ‘out-of-domain’ sensing technologies, such as optical solutions or systems developed for applications beyond traditional seismic monitoring. Combined with the evolution of data acquisition and transmission systems, data fusion, and advanced sensor data analytics and AI, these technologies are key enablers for networks with heightened sensing and processing capabilities.
This Special Issue focuses on innovative sensors and sensing technologies applied to earthquake detection and monitoring. Topics of interest include, but are not limited to, the following:
- Low-cost and very low-cost sensing technologies for seismic monitoring;
- Optical sensing for seismic monitoring;
- Urban monitoring and structural health monitoring networks;
- Innovative data acquisition, fusion and transmission in seismic monitoring networks;
- Machine and deep learning in seismology and seismic data analysis;
- Earthquake early warning systems;
- Mobile crowd sensing for seismic sensing and early warning;
- Cloud and edge computing for seismic sensing and early warning.
Prof. Dr. Lorenzo Palma
Prof. Dr. Paola Pierleoni
Dr. Alberto Belli
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- seismic sensors
- seismic monitoring
- earthquakes
- sensor networks
- smart networks
- low-cost sensors
- mobile crowd sensing
- optical sensors
- sensor data fusion
- embedded AI for sensors
