Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/27650
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dc.contributor.authorStamenkova, Simonaen_US
dc.contributor.authorCavkovski, Panceen_US
dc.contributor.authorTrivodaliev, Kireen_US
dc.contributor.authorRisteska Stojkoska, Biljanaen_US
dc.date.accessioned2023-09-01T09:31:40Z-
dc.date.available2023-09-01T09:31:40Z-
dc.date.issued2022-11-15-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/27650-
dc.description.abstractMost of the world population is expected to live in urban areas in the future, therefore, there is an evident need for general smart city solutions, especially for big cities. The aim of this paper is: (i) to present an architecture for general smart city solution that collects different environmental parameters from different sites in a big city; (ii) to present implementation details of a separate module for flood detection that works on the top of the general solution; and (iii) to present a smart city application that monitors flood related parameters and informs residents if there is a flooded underpass, or increased water levels on a particular river or lake. The system collects environmental measurements using The Things Network, through LoRaWAN base stations.en_US
dc.publisherIEEEen_US
dc.subjectflood detection , smart city , the things network , LoRaWANen_US
dc.titleSmart city solution for early flood detectionen_US
dc.typeProceeding articleen_US
dc.relation.conference2022 30th Telecommunications Forum (TELFOR)en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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