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.
Original language | English |
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Article number | 1445 |
Journal | Energies |
Volume | 13 |
Issue number | 6 |
DOIs | |
Publication status | Published - 19 Mar 2020 |
Externally published | Yes |
Keywords
- aerospace energy systems
- solar-powered UAVs
- electric vehicles
- solar power
- communication security
- energy efficiency
- navigation
- eavesdropping
- path planning