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, Wei Ni

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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 languageEnglish
Article number1445
JournalEnergies
Volume13
Issue number6
DOIs
Publication statusPublished - 19 Mar 2020

Keywords

  • aerospace energy systems
  • solar-powered UAVs
  • electric vehicles
  • solar power
  • communication security
  • energy efficiency
  • navigation
  • eavesdropping
  • path planning

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