Cargando…
Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks
Unmanned aerial vehicles (UAVs) in the role of flying anchor nodes have been proposed to assist the localisation of terrestrial Internet of Things (IoT) sensors and provide relay services in the context of the upcoming 6G networks. This paper considered the objective of tracing a mobile IoT device o...
Autores principales: | Spyridis, Yannis, Lagkas, Thomas, Sarigiannidis, Panagiotis, Argyriou, Vasileios, Sarigiannidis, Antonios, Eleftherakis, George, Zhang, Jie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201316/ https://www.ncbi.nlm.nih.gov/pubmed/34200449 http://dx.doi.org/10.3390/s21113936 |
Ejemplares similares
-
UAV IoT Framework Views and Challenges: Towards Protecting Drones as “Things”
por: Lagkas, Thomas, et al.
Publicado: (2018) -
Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial Vehicles
por: Fevgas, Georgios, et al.
Publicado: (2022) -
End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation Balance
por: Sun, Zhonglin, et al.
Publicado: (2021) -
IDS for Industrial Applications: A Federated Learning Approach with Active Personalization
por: Kelli, Vasiliki, et al.
Publicado: (2021) -
LoRa-Based IoT Network Assessment in Rural and Urban Scenarios
por: Griva, Aikaterini I., et al.
Publicado: (2023)