Earthquake Detection at the Edge: IoT Crowdsensing Network

Autor:	Enrico Bassetti, Emanuele Panizzi
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	earthquake early warnings crowdsensing edge computing Internet of Things Information technology T58.5-58.64
Zdroj:	Information, Vol 13, Iss 4, p 195 (2022)
Druh dokumentu:	article
ISSN:	2078-2489
DOI:	10.3390/info13040195
Popis:	State-of-the-art Earthquake Early Warning systems rely on a network of sensors connected to a fusion center in a client–server paradigm. The fusion center runs different algorithms on the whole data set to detect earthquakes. Instead, we propose moving computation to the edge, with detector nodes that probe the environment and process information from nearby probes to detect earthquakes locally. Our approach tolerates multiple node faults and partial network disruption and keeps all data locally, enhancing privacy. This paper describes our proposal’s rationale and explains its architecture. We then present an implementation that uses Raspberry, NodeMCU, and the Crowdquake machine learning model.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b6ba239656914be8bae79130acc29e5f Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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