A Data-Driven Packet Routing Algorithm for an Unmanned Aerial Vehicle Swarm: A Multi-Agent Reinforcement Learning Approach

Routing decisions made by unmanned aerial vehicle (UAV) swarms are affected by complex and dynamically changing topologies. A centralized routing algorithm imposes the entire computational burden on one module, and the high data dimensionality renders computation burdensome. In this letter, we devel...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE wireless communications letters 2022-10, Vol.11 (10), p.2160-2164
Hauptverfasser:	Qiu, Xiulin, Xu, Lei, Wang, Ping, Yang, Yuwang, Liao, Zhenqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Autonomous aerial vehicles Changing environments Data transmission data-driven routing Decisions Heuristic algorithms link quality assessment LSTM Machine learning multi-agent reinforcement learning Multiagent systems Quality assessment Route planning Routing Signal to noise ratio Topology Transmission rate (communications) UAV swarm network Unmanned aerial vehicles Vehicle dynamics
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!