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2022-04-14 - Article/Dans un journal avec peer-review - Anglais - 7 page(s)

Tadrist Nassima, Mahmoudi Said , Debauche Olivier , Guttadauria Adriano , "Towards Low-Cost IoT and LPWAN-Based Flood Forecast and Monitoring System" in International Journal of Ubiquitous Systems and Pervasive Networks

  • Edition : International Association for Sharing Knowledge and Sustainability, Port Williams (Canada)
  • Codes CREF : Sciences agronomiques (DI3600), Informatique générale (DI1162)
  • Unités de recherche UMONS : Informatique, Logiciel et Intelligence artificielle (F114)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech), Institut NUMEDIART pour les Technologies des Arts Numériques (Numédiart)
Texte intégral :

Abstract(s) :

(Anglais) The recent floods have shown that the classic monitoring systems for water courses are no longer adapted because other phenomena such as the insufficient capacity and/or obstruction of drainage networks, the modification of cultivation practices and rotations, the increase in the size of plots linked to the reparcelling, the urbanization of floodable areas, etc.The combination of all these causes, plus the modification of the water regime, implies an increase in the risk of flooding and an adapted monitoring that is no longer limited to water courses in order to give early warning of the risk of floodingby runoff. The Internet of Things (IoT) and the availability of microcontrollers and sensors with low data rates and long ranges, as well as low-power wide area networks (LPWANs), allow for much more advanced monitoring systems.

Identifiants :
  • DOI : 10.5383/JUSPN.17.01.006

Mots-clés :
  • (Anglais) Flash Flood
  • (Anglais) Moody Flood
  • (Anglais) IoT
  • (Anglais) NB-IoT
  • (Anglais) LoRaWan
  • (Anglais) Sewer
  • (Anglais) LPWAN
  • (Anglais) Monitoring System
  • (Anglais) Runoff Flooding
  • (Anglais) Flood
  • (Anglais) Runoff
  • (Anglais) Warning System