Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT

Xiumin Zhu; Lingling Wang; Yumei Li; Shudian Song; Shuyue Ma; Feng Yang; Linbo Zhai

doi:10.1016/j.vehcom.2022.100491

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Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT

Xiumin Zhu Lingling Wang Yumei Li Shudian Song Shuyue Ma Feng Yang Linbo Zhai

Year: 2022 Journal: Vehicular Communications Vol: 36 Pages: 100491-100491 Publisher: Elsevier BV

DOI: 10.1016/j.vehcom.2022.100491

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Keywords:

Computer science Wireless sensor network Motion planning Path (computing) Data collection Efficient energy use Transmission (telecommunications) Limiting Real-time computing Energy (signal processing) Data transmission Distributed computing Computer network Artificial intelligence Telecommunications

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UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT

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