Energy-Efficient 3D Navigation of a Solar-Powered UAV for Secure Communication in the Presence of Eavesdroppers and No-Fly Zones

Hailong Huang, Andrey V. Savkin and Wei Ni
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Hailong Huang: School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, Australia
Andrey V. Savkin: School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, Australia
Wei Ni: Data61, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney 2122, Australia

Energies, 2020, vol. 13, issue 6, 1-12

Abstract: Unmanned Aerial Vehicles (UAVs) have been regarded as a promising means to reshape future wireless communication systems. In this paper, we consider how to plan the trajectory of a solar-powered UAV under a cloudy condition to secure the communication between the UAV and a target ground node against multiple eavesdroppers. We propose a new 3D UAV trajectory optimization model by taking into account the UAV energy consumption, solar power harvesting, eavesdropping and no-fly zone avoidance. A Rapidly-exploring Random Tree (RRT) method is developed to construct the UAV trajectory. Computer simulations and comparisons with a baseline method demonstrate that the proposed method is able to produce trajectories to ensure the valid wireless communication link with the ground node and prevent eavesdropping.

Keywords: aerospace energy systems; solar-powered UAVs; electric vehicles; solar power; communication security; energy efficiency; navigation; eavesdropping; path planning (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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