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

Harald Bayerlein; Mirco Theile; Marco Caccamo; David Gesbert

doi:10.1109/ojcoms.2021.3081996

ScienceGate Book Chapters

JOURNAL ARTICLE

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

Harald Bayerlein Mirco Theile Marco Caccamo David Gesbert

Year: 2021 Journal: IEEE Open Journal of the Communications Society Vol: 2 Pages: 1171-1187 Publisher: IEEE Communications Society

DOI: 10.1109/ojcoms.2021.3081996

Get Full-Text PDF Get Analytical Report

Abstract

Modifications: UAVs can fly over small buildings and comparison between map-based and scalar input networks added; Submitted to IEEE OJ-COMS, code available under https://github.com/hbayerlein/uav_data_harvesting, article extends on arXiv:2007.00544

Keywords:

Reinforcement learning Computer science Partially observable Markov decision process Markov decision process Motion planning Data collection Distributed computing Real-time computing Artificial intelligence State space Channel (broadcasting) Process (computing) Task (project management) Wireless sensor network Path (computing) Markov process Machine learning Markov chain Computer network Robot Markov model Engineering

Metrics

175

Cited By

38.40

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

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

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

Abstract

Metrics

Citation History

Topics

Related Documents

Efficient Multi-UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning

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

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