DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs

DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs

The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation (B5G) communications, is making vehicular edge computing networks (VECNs) increasingly complex. The latency constraints of modern automotive applications make it difficult to run complex applications on vehicl...

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Bibliographic Details
Main Authors: Muhammad Ayzed Mirza, Junsheng Yu, Salman Raza, Moez Krichen, Manzoor Ahmed, Wali Ullah Khan, Khaled Rabie, Thokozani Shongwe
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Automotive-Industry 5.0
Vehicular Edge Computing (VEC)
Task offloading
Beyond fifth-generation (B5G)
Deep Reinforcement Learning (DRL)
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823000423

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http://www.sciencedirect.com/science/article/pii/S1319157823000423

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