Deep Reinforcement Learning and SQP-driven task offloading decisions in vehicular edge computing networks

Ehzaz Mustafa; Junaid Shuja; Faisal Rehman; Abdallah Namoun; Muhammad Bilal; Kashif Bilal

doi:10.1016/j.comnet.2025.111180

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Deep Reinforcement Learning and SQP-driven task offloading decisions in vehicular edge computing networks

Ehzaz Mustafa Junaid Shuja Faisal Rehman Abdallah Namoun Muhammad Bilal Kashif Bilal

Year: 2025 Journal: Computer Networks Vol: 262 Pages: 111180-111180 Publisher: Elsevier BV

DOI: 10.1016/j.comnet.2025.111180

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Keywords:

Computer science Reinforcement learning Task (project management) Edge computing Artificial intelligence Vehicular ad hoc network Enhanced Data Rates for GSM Evolution Mobile edge computing Edge device Distributed computing Human–computer interaction Wireless Telecommunications Wireless ad hoc network Cloud computing Operating system

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Topics

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Deep Reinforcement Learning and SQP-driven task offloading decisions in vehicular edge computing networks

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