ENERGY-EFFICIENT 3D UAV TRAJECTORY DESIGN FOR DATA COLLECTION IN WIRELESS SENSOR NETWORKS

Bonilla, Daniel, Nurellari, Edmond and Ghogho, Mounir (2020) ENERGY-EFFICIENT 3D UAV TRAJECTORY DESIGN FOR DATA COLLECTION IN WIRELESS SENSOR NETWORKS. In: 45th International Conference on Acoustics, Speech, and Signal Processing, 4-8 May 2020, Barcelona, Spain.

Full content URL: https://doi.org/10.1109/ICASSP40776.2020.9054054

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ENERGY-EFFICIENT 3D UAV TRAJECTORY DESIGN FOR DATA COLLECTION IN WIRELESS SENSOR NETWORKS
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Abstract

We consider the issue of designing closed 3D UAV trajectories that allow for an energy efficient collection of data with a
UAV-aided wireless sensor network. We consider a 3D wireless channel model and a realistic dynamical model for the
UAV. The proposed trajectory is largely derived analytically, thus making its online calculation computationally tractable.
We also show the importance of using realistic dynamical and energy models for the UAV in designing efficient trajectories. This is done mainly by showing that minimising the flying time of the UAV is not equivalent to minimising its energy consumption. Simulation results corroborate these findings.

Keywords:Unmanned aerial vehicles (UAV), Data collection, Trajectory planning
Subjects:H Engineering > H671 Robotics
G Mathematical and Computer Sciences > G140 Numerical Analysis
H Engineering > H600 Electronic and Electrical Engineering
H Engineering > H640 Communications Engineering
Divisions:College of Science > School of Engineering
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ID Code:40655
Deposited On:22 May 2020 11:37

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