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

doi: 10.3390/en13061445
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.
- School of Electrical Engineering and Telecom Faculty of Engineering University of New South Wales Australia
- Hong Kong Polytechnic University China (People's Republic of)
- School of Electrical Engineering and Telecom Faculty of Engineering University of New South Wales Australia
- UNSW Sydney Australia
- Commonwealth Scientific and Industrial Research Organisation Australia
Technology, aerospace energy systems, T, solar power, eavesdropping, aerospace energy systems; solar-powered UAVs; electric vehicles; solar power; communication security; energy efficiency; navigation; eavesdropping; path planning, solar-powered uavs, communication security, navigation, path planning, energy efficiency, electric vehicles
Technology, aerospace energy systems, T, solar power, eavesdropping, aerospace energy systems; solar-powered UAVs; electric vehicles; solar power; communication security; energy efficiency; navigation; eavesdropping; path planning, solar-powered uavs, communication security, navigation, path planning, energy efficiency, electric vehicles
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).27 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
