Multi-Agent Deep Reinforcement Learning-Based Multi-UAV Path Planning for Wireless Data Collection and Energy Transfer

Chungnyeong Lee; Sang Cheol Lee; Taehoon Kim; Inkyu Bang; Jung Hoon Lee; Seong Ho Chae

doi:10.1109/icufn61752.2024.10625275

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-Agent Deep Reinforcement Learning-Based Multi-UAV Path Planning for Wireless Data Collection and Energy Transfer

Chungnyeong Lee Sang Cheol Lee Taehoon Kim Inkyu Bang Jung Hoon Lee Seong Ho Chae

Year: 2024 Pages: 500-504

DOI: 10.1109/icufn61752.2024.10625275

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Transfer of learning Motion planning Data collection Path (computing) Wireless Energy (signal processing) Artificial intelligence Computer network Distributed computing Telecommunications Robot

Metrics

Cited By

9.23

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Energy Harvesting in Wireless Networks

Physical Sciences → Engineering → Electrical and Electronic Engineering

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Multi-Agent Deep Reinforcement Learning-Based Multi-UAV Path Planning for Wireless Data Collection and Energy Transfer

Metrics

Citation History

Topics

Related Documents

Multi-UAV Path Planning Based on Multi-Agent Deep Reinforcement Learning

Multi-UAV Path Planning for Plural Data Collection: Distributed Multi-Agent Deep Reinforcement Learning Algorithms

Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning

Multi-Agent Deep Reinforcement Learning-Based UAV Trajectory Optimization for Data Collection

Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning