The present work aims to comprehensively contribute to the process, design, and technologies of Earthquake Early Warning (EEW). EEW systems aim to detect the earthquake immediately at the epicenter and relay the information in real-time to nearby areas, anticipating the arrival of the shake. These systems exploit the difference between the earthquake wave speed and the time needed to detect and send alerts. This Ph.D. thesis aims to improve the adoption, robustness, security, and scalability of Earthquake Early Warning systems using a decentralized approach to data processing and information exchange. The proposed architecture aims to have a more resilient detection, remove Single point of failure, higher efficiency, mitigate security vulnerabilities, and improve privacy regarding centralized EEW architectures. A prototype of the proposed architecture has been implemented using low-cost sensors and processing devices to quickly assess the ability to provide the expected information and guarantees. The capabilities of the proposed architecture are evaluated not only on the main EEW problem but also on the quick estimation of the epicentral area of an earthquake, and the results demonstrated that our proposal is capable of matching the performance of current centralized counterparts.
Designing and implementing a distributed earthquake early warning system for resilient communities: a PhD thesis / Bassetti, Enrico. - (2023 May 19).
Designing and implementing a distributed earthquake early warning system for resilient communities: a PhD thesis
BASSETTI, ENRICO
19/05/2023
Abstract
The present work aims to comprehensively contribute to the process, design, and technologies of Earthquake Early Warning (EEW). EEW systems aim to detect the earthquake immediately at the epicenter and relay the information in real-time to nearby areas, anticipating the arrival of the shake. These systems exploit the difference between the earthquake wave speed and the time needed to detect and send alerts. This Ph.D. thesis aims to improve the adoption, robustness, security, and scalability of Earthquake Early Warning systems using a decentralized approach to data processing and information exchange. The proposed architecture aims to have a more resilient detection, remove Single point of failure, higher efficiency, mitigate security vulnerabilities, and improve privacy regarding centralized EEW architectures. A prototype of the proposed architecture has been implemented using low-cost sensors and processing devices to quickly assess the ability to provide the expected information and guarantees. The capabilities of the proposed architecture are evaluated not only on the main EEW problem but also on the quick estimation of the epicentral area of an earthquake, and the results demonstrated that our proposal is capable of matching the performance of current centralized counterparts.File | Dimensione | Formato | |
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Tesi_dottorato_Bassetti.pdf
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