Dense network of sensors applied to earthquake early warning in smart cities
department or school: Applied Science, Faculty of
department or school: Electrical and Computer Engineering, Department of
data provider: DSpace
degree campus: UBCV
creator: Daiss, Ivelina
issued: 2023-09-01T19:54:50Z
issued: 2023
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: Earthquakes are unpredictable, unpreventable natural events that cause extensive damage to the impacted area’s infrastructure and inhabitants. Early warning systems are humanity’s way of having some prior knowledge of the onset of earthquakes. Historically, Earthquake Early Warning (EEW) systems have been implemented, but have shown limited success in providing accurate, adequate, and meaningful information to help societies mitigate what is happening. A new approach to EEW is proposed in the Earthquake Early Warning in Smart Cities (EEW-SC) that utilizes modern technologies like 5th generation wireless access telecommunications networks and the Internet of Things (IoT) to achieve much improved seismic behaviour prediction and apply the learned toward next-gen mitigation and prevention strategies for urbanized and industrialized smart cities' protection. The outlined research covers the development of an advanced Dense Network of IoT Sensors (DeNIS) for seismic data collection in real-time and a novel mechanism for data acquisition, data transfer and Asynchronous Sensor Coordination (ASC). A detailed examination of 4th and 5th generation cellular technologies brought much needed understanding into the behaviour of an EEW system operated on a public telecommunications network. The learnings and developments in this work will be further incorporated with the soon-to-be developed and deployed in British Columbia EEW-SC.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/85778
note: Dense Network of Sensors Applied to Earthquake EarlyWarning in Smart CitiesbyIvelina DaissB. Applied Science, University of British Columbia, 2019A THESIS SUBMITTED IN PARTIAL FULFILLMENTOF THE REQUIREMENTS FOR THE DEGREE OFMaster of Applied ScienceinTHE FACULTY OF GRADUATE AND POSTDOCTORALSTUDIES(Electrical and Computer Engineering)The University of British Columbia(Vancouver)August 2023© Ivelina Daiss, 2023The following individuals certify that they have read, and recommend to the Fac-ulty of Graduate and Postdoctoral Studies for acceptance, the thesis entitled:Dense Network of Sensors Applied to Earthquake Early Warning inSmart Citiessubmitted by Ivelina Daiss in partial fulfillment of the requirements for the degreeof Master of Applied Science in Electrical and Computer Engineering.Examining Committee:Jose´ Martı´, Electrical and Computer EngineeringSupervisorCarlos Ventura, Structural and Earthquake EngineeringSupervisory Committee MemberShahriar Mirabbasi, Electrical and Computer EngineeringSupervisory Committee MemberiiAbstractEarthquakes are unpredictable, unpreventable natural events that cause extensivedamage to the impacted area’s infrastructure and inhabitants. Early warning sys-tems are humanity’s way of having some prior knowledge of the onset of earth-quakes. Historically, Earthquake Early Warning (EEW) systems have been imple-mented, but have shown limited success in providing accurate, adequate, and mean-ingful information to help societies mitigate what is happening. A new approachto EEW is proposed in the Earthquake Early Warning in Smart Cities (EEW-SC)that utilizes modern technologies like 5th generation wireless access telecommu-nications networks and Internet of Things (IoT) to achieve much improved seismicbehaviour prediction and apply the learned toward next-gen mitigation and pre-vention strategies for urbanized and industrialized smart cities’ protection. Theoutlined research covers the development of an advanced Dense Network of IoTSensor…
has type: Thesis/Dissertation
date issued: 2023-11
is shown at: 10.14288/1.0435731
language: eng
degree discipline: Electrical and Computer Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Martí, José R.
type: Text
identifier URI: http://hdl.handle.net/2429/85778