Hierarchical Task Offloading for Vehicular Fog Computing Based on Multi-Agent Deep Reinforcement Learning

Vehicular fog computing (VFC) has been expected as a promising architecture that can make full use of computing resources of idle vehicles to increase computing capability. However, most current VFC architectures only focus on the local region and ignore the spatio-temporal heterogeneity of computin...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 23; no. 4; pp. 3074 - 3085
Main Authors:	Hou, Yukai, Wei, Zhiwei, Zhang, Rongqing, Cheng, Xiang, Yang, Liuqing
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Complexity theory Computation offloading Computer architecture counterfactual multi-agent Deep learning Edge computing Heterogeneity hierarchical task offloading Idling multi-agent reinforcement learning Multiagent systems Operations research Reinforcement learning Resource management Resource utilization Servers Task analysis Vehicular fog computing
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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