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UAV Trajectory Optimization in a Post-Disaster Area Using Dual Energy-Aware Bandits.

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  • 1Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan.

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Summary
This summary is machine-generated.

This study optimizes Unmanned Aerial Vehicle (UAV) flight paths for emergency wireless communication networks post-disaster. The dual cost-aware multi-armed bandit algorithm maximizes user coverage and throughput within energy constraints.

Keywords:
cost subsidymulti-armed banditpost-disasterreinforcement learningtrajectory optimizationunmanned aerial vehicle

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Area of Science:

  • Wireless Communication
  • Network Engineering
  • Disaster Management

Background:

  • Increasing natural disasters necessitate robust emergency communication systems.
  • Unmanned Aerial Vehicles (UAVs) offer flexible and capable solutions for post-disaster scenarios.

Purpose of the Study:

  • To optimize UAV flight trajectories for maximizing ground user coverage in emergency networks.
  • To address energy limitations for both UAVs and ground users in post-disaster communication.

Main Methods:

  • Investigated a UAV-based emergency wireless communication network.
  • Formulated an optimization problem for UAV trajectory.
  • Applied a dual cost-aware multi-armed bandit algorithm to manage energy constraints.

Main Results:

  • The proposed algorithm effectively optimizes UAV trajectories.
  • Maximized the number of visited ground users.
  • Achieved optimal throughput under limited energy conditions.

Conclusions:

  • UAV-based networks are effective for post-disaster communication.
  • The dual cost-aware multi-armed bandit algorithm successfully balances coverage and energy efficiency.
  • This approach enhances emergency wireless communication capabilities.