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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

Author

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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)

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.

Suggested Citation

  • Hailong Huang & Andrey V. Savkin & Wei Ni, 2020. "Energy-Efficient 3D Navigation of a Solar-Powered UAV for Secure Communication in the Presence of Eavesdroppers and No-Fly Zones," Energies, MDPI, vol. 13(6), pages 1-12, March.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1445-:d:334620
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    References listed on IDEAS

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    4. Dong Ho Lee & Jong Hwa Park, 2019. "Developing Inspection Methodology of Solar Energy Plants by Thermal Infrared Sensor on Board Unmanned Aerial Vehicles," Energies, MDPI, vol. 12(15), pages 1-14, July.
    5. Abdullah Mohiuddin & Tarek Taha & Yahya Zweiri & Dongming Gan, 2019. "UAV Payload Transportation via RTDP Based Optimized Velocity Profiles," Energies, MDPI, vol. 12(16), pages 1-25, August.
    6. Waleed Ejaz & Muhammad Awais Azam & Salman Saadat & Farkhund Iqbal & Abdul Hanan, 2019. "Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management," Energies, MDPI, vol. 12(14), pages 1-18, July.
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    Cited by:

    1. Hailong Huang & Andrey V. Savkin, 2021. "Path Planning for a Solar-Powered UAV Inspecting Mountain Sites for Safety and Rescue," Energies, MDPI, vol. 14(7), pages 1-19, April.
    2. Hailong Huang & Andrey V. Savkin, 2020. "Autonomous Navigation of a Solar-Powered UAV for Secure Communication in Urban Environments with Eavesdropping Avoidance," Future Internet, MDPI, vol. 12(10), pages 1-14, October.
    3. Hailong Huang & Andrey V. Savkin, 2020. "Energy-Efficient Autonomous Navigation of Solar-Powered UAVs for Surveillance of Mobile Ground Targets in Urban Environments," Energies, MDPI, vol. 13(21), pages 1-17, October.

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