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Joint trajectory, transmission time and power optimization for multi-UAV data collecting system.

Qing Cai1, Zheng Tang2, Chuan Liu1

  • 1Yunnan Zhongheng Construction Co., Ltd, 15 Building of Jin Shangjun Garden, Panlong District, Kunming, Yunnan, 650224, China.

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Summary

This study introduces an efficient multi-unmanned aerial vehicle (UAV) system for data collection, optimizing energy use and maximizing data transfer under communication constraints.

Keywords:
Collection schedulingData collectionMultiple UAVsTrajectory optimizationTransmit power

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Area of Science:

  • Wireless communication networks
  • Robotics and control systems
  • Optimization theory

Background:

  • Unmanned aerial vehicles (UAVs) offer flexible mobile communication platforms.
  • UAVs can enhance communication performance by acting as mobile base stations.
  • Data collection systems face challenges with energy limitations and channel interference.

Purpose of the Study:

  • To develop a multi-UAV assisted data collection system.
  • To address energy consumption limitations for both UAVs and ground nodes.
  • To maximize the minimum data collected from ground nodes considering channel interference.

Main Methods:

  • Formulated a non-convex optimization problem to maximize minimum data collection.
  • Decomposed the problem into four sub-problems.
  • Employed successive convex approximation and block coordinate descent methods.

Main Results:

  • Developed an iterative algorithm for joint optimization of data transmission, power, UAV trajectory, and mission time.
  • The proposed algorithm significantly outperforms baseline methods in data transmission.
  • Achieved improved data collection efficiency under energy constraints.

Conclusions:

  • The proposed iterative algorithm effectively optimizes multi-UAV assisted data collection.
  • The system demonstrates superior performance in maximizing data collection under realistic constraints.
  • This research contributes to efficient UAV-based communication systems.