Dependent Task-Offloading Strategy Based on Deep Reinforcement Learning in Mobile Edge Computing

In mobile edge computing, there are usually relevant dependencies between different tasks, and traditional algorithms are inefficient in solving dependent task-offloading problems and neglect the impact of the dynamic change of the channel on the offloading strategy. To solve the offloading problem...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Wireless communications and mobile computing 2023-01, Vol.2023, p.1-12
Hauptverfasser:	Gong, Bencan, Jiang, Xiaowei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Collaboration Computation offloading Decisions Deep learning Delay Edge computing Energy consumption Genetic algorithms Internet of Things Machine learning Markov processes Mobile computing Optimization Servers Unmanned aerial vehicles
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!