Vehicle Edge Computing Network Service Migration Strategy Based on Multi-agent Reinforcement Learning

Zhongli Chen; Jichang Chen; Taoshen Li

doi:10.1007/978-981-99-9640-7_35

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Vehicle Edge Computing Network Service Migration Strategy Based on Multi-agent Reinforcement Learning

Zhongli Chen Jichang Chen Taoshen Li

Year: 2024 Communications in computer and information science Pages: 473-484 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-9640-7_35

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Keywords:

Reinforcement learning Computer science Benchmark (surveying) Robustness (evolution) Distributed computing Edge computing Enhanced Data Rates for GSM Evolution Task (project management) Stability (learning theory) Artificial intelligence Service (business) Machine learning Engineering

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2.14

FWCI (Field Weighted Citation Impact)

Refs

0.71

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Transportation and Mobility Innovations

Physical Sciences → Engineering → Automotive Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Vehicle Edge Computing Network Service Migration Strategy Based on Multi-agent Reinforcement Learning

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Citation History

Topics

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