[en] Landslides are phenomena widely present around the world responsible each year for numerous loss of life and extensive property damage. Researchers have developed various methodologies to identify area of high susceptibility of landslide. However, these methodology can't predict when landslides are going to take place. Wireless Sensors Network, Internet of Thins and Artificial Intelligence offer the possibility to monitor in real-time parameters causing the triggering of rapid landslides. In this paper, we pave the way to a real-time monitoring of landslides in order to precociously alert in danger population by means of a warning system.
Disciplines :
Computer science
Author, co-author :
Elmoulat, Meryem
Debauche, Olivier ; Université de Liège - ULiège > TERRA Research Centre
Mahmoudi, Saïd
Mahmoudi, Sidi Ahmed
Guttadauria, Adriano
Manneback, Pierre
Lebeau, Frédéric ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges
Language :
English
Title :
Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence
Publication date :
15 December 2021
Journal title :
International Journal of Ubiquitous Systems and Pervasive Networks
ISSN :
1923-7324
eISSN :
1923-7332
Publisher :
International Association for Sharing Knowledge and Sustainability, Port Williams, Canada