Task offloading strategy and scheduling optimization for internet of vehicles based on deep reinforcement learning

Driven by the construction of smart cities, networks and communication technologies are gradually infiltrating into the Internet of Things (IoT) applications in urban infrastructure, such as automatic driving. In the Internet of Vehicles (IoV) environment, intelligent vehicles will generate a lot of...

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Veröffentlicht in:	Ad hoc networks Jg. 147; S. 103193
Hauptverfasser:	Zhao, Xu, Liu, Mingzhen, Li, Maozhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2023
Schlagworte:	Deep reinforcement learning Internet of vehicles Mobile edge computing Scheduling optimization Deep reinforcement learning Internet of vehicles Mobile edge computing Scheduling optimization
ISSN:	1570-8705, 1570-8713
Online-Zugang:	Volltext
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