Article (Scientific journals)
High Altitude Platform Stations Aided Cloud-Computing Solution for Rural-Environment IoT Applications
Monzon Baeza, Victor; Alvarez Marban, Manuel
2022In Computer Networks and Communications
Peer reviewed
 

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Keywords :
Haps; IoT; AWS; Cloud-Computing; Smart Rural
Abstract :
[en] This work proposes a flexible and scalable Smart Rural (SR) system for gathering and processing IoT data from remote rural areas with no traditional communication coverage as a handicap. We offer an architecture structured in distinct segments using emerging technologies such as IoT, 5G, Cloud and High Altitude Platform Station (HAPS). This proposal is applied to the rural environment to cover thus all the needs of the system in the collection of IoT data from these remote rural areas, its coverage by space vehicles and its processing and storage through 5G terrestrial networks and cloud services. The proposal includes the deployment of IoT sensors and the development of Amazon Web Services (AWS). On the other hand, the part of the space segment considered by HAPS has been simulated for different space channels. This way offers a complete and automated SR system that allows access to these IoT data from remote rural areas through the Internet.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Monzon Baeza, Victor  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Alvarez Marban, Manuel;  Future Connections
External co-authors :
yes
Language :
English
Title :
High Altitude Platform Stations Aided Cloud-Computing Solution for Rural-Environment IoT Applications
Publication date :
December 2022
Journal title :
Computer Networks and Communications
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 26 December 2022

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