Towards 6G IoT : tracing mobile sensor nodes with deep learning clustering in UAV networks

Spyridis, Y. orcid.org/0000-0002-2028-0367, Lagkas, T. orcid.org/0000-0002-0749-9794, Sarigiannidis, P. et al. (4 more authors) (2021) Towards 6G IoT : tracing mobile sensor nodes with deep learning clustering in UAV networks. Sensors, 21 (11). 3936.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: unmanned aerial vehicles; deep learning; IoT; 6G; graph convolutional network; sensor tracking; RSSI
Dates:
  • Accepted: 1 June 2021
  • Published (online): 7 June 2021
  • Published: 7 June 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
The University of Sheffield > International Faculty (Sheffield) > City College, Computer Science Department (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 29 Jul 2021 13:21
Last Modified: 29 Jul 2021 13:21
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/s21113936

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