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http://hdl.handle.net/20.500.12188/27650
Title: | Smart city solution for early flood detection | Authors: | Stamenkova, Simona Cavkovski, Pance Trivodaliev, Kire Risteska Stojkoska, Biljana |
Keywords: | flood detection , smart city , the things network , LoRaWAN | Issue Date: | 15-Nov-2022 | Publisher: | IEEE | Conference: | 2022 30th Telecommunications Forum (TELFOR) | Abstract: | Most 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. | URI: | http://hdl.handle.net/20.500.12188/27650 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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