Deep Reinforcement Learning Multi-Agent System for Resource Allocation in Industrial Internet of Things

Deep Reinforcement Learning Multi-Agent System for Resource Allocation in Industrial Internet of Things

The high number of devices with limited computational resources as well as limited communication resources are two characteristics of the Industrial Internet of Things (IIoT). With Industry 4.0 emerges a strong demand for data processing in the edge, constrained primarily by the limited available re...

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Bibliographic Details
Main Authors:	Julia Rosenberger, Michael Urlaub, Felix Rauterberg, Tina Lutz, Andreas Selig, Michael Bühren, Dieter Schramm
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Series:	Sensors
Subjects:	deep reinforcement learning multi-agent system Industrial Internet of Things load balancing resource allocation dynamic network
Online Access:	https://www.mdpi.com/1424-8220/22/11/4099

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