Securing UAV Communication in the Presence of Stationary or Mobile Eavesdroppers via Online 3D Trajectory Planning

Savkin, AV; Huang, H; Ni, W

Securing UAV Communication in the Presence of Stationary or Mobile Eavesdroppers via Online 3D Trajectory Planning

Savkin, AV Huang, H Ni, W

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Wireless Communications Letters, 2020, 9, (8), pp. 1211-1215
Issue Date:: 2020-08-01

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Field	Value	Language
dc.contributor.author	Savkin, AV
dc.contributor.author	Huang, H
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.date.accessioned	2021-03-16T01:45:21Z
dc.date.available	2021-03-16T01:45:21Z
dc.date.issued	2020-08-01
dc.identifier.citation	IEEE Wireless Communications Letters, 2020, 9, (8), pp. 1211-1215
dc.identifier.issn	2162-2337
dc.identifier.issn	2162-2345
dc.identifier.uri	http://hdl.handle.net/10453/147231
dc.description.abstract	© 2012 IEEE. Unmanned Aerial Vehicles (UAVs) are expected to play an active role In future wireless communication systems, thanks to their excellent mobility. This letter considers a problem of navigating a UAV to secure Its wireless communication with a stationary or mobile ground node In the presence of stationary or mobile eavesdroppers that can eavesdrop Individually and collaboratively. We optimize online the 3D trajectory of the UAV to minimize the energy expenditure of the UAV subject to the UAV's aeronautic maneuverability, and the ground node can effectively capture the transmitted data while the eavesdroppers are not able to do It. A model predictive control (MPC) based navigation scheme Is developed and Its optimality Is proved. Computer simulations and comparisons against a benchmark method are conducted to demonstrate the effectiveness of the proposed approach.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Wireless Communications Letters
dc.relation.isbasedon	10.1109/LWC.2020.2986291
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.title	Securing UAV Communication in the Presence of Stationary or Mobile Eavesdroppers via Online 3D Trajectory Planning
dc.type	Journal Article
utslib.citation.volume	9
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-03-16T01:45:19Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	9
utslib.citation.issue	8

Abstract:

© 2012 IEEE. Unmanned Aerial Vehicles (UAVs) are expected to play an active role In future wireless communication systems, thanks to their excellent mobility. This letter considers a problem of navigating a UAV to secure Its wireless communication with a stationary or mobile ground node In the presence of stationary or mobile eavesdroppers that can eavesdrop Individually and collaboratively. We optimize online the 3D trajectory of the UAV to minimize the energy expenditure of the UAV subject to the UAV's aeronautic maneuverability, and the ground node can effectively capture the transmitted data while the eavesdroppers are not able to do It. A model predictive control (MPC) based navigation scheme Is developed and Its optimality Is proved. Computer simulations and comparisons against a benchmark method are conducted to demonstrate the effectiveness of the proposed approach.

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http://hdl.handle.net/10453/147231