articleIEEE Transactions on Intelligent Transportation SystemsJan 1, 2025GREEN OA

Reinforcement Learning-Based Edge Server Placement in the Intelligent Internet of Vehicles Environment

ZZZhou ZhouJAJemal Abawajy

Changsha University · Deakin University

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Abstract

Generative AI-enabled Intelligent Transportation Systems (ITS) are revolutionizing modern transportation by improving safety, efficiency, and adaptability, fostering the development of intelligent Internet of Vehicles (IoV) ecosystems. A critical component of such systems is the deployment of edge servers, which provide localized, low-latency computing, storage, and processing capabilities near data sources. However, determining the optimal placement of edge servers to maximize safety, efficiency, and adaptability in IoV systems remains a significant challenge. Current solutions often optimize one or two metrics, such as energy efficiency or latency, but fail to account for holistic performance improvements.…

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Keywords
  • Reinforcement learning
  • Computer science
  • The Internet
  • Enhanced Data Rates for GSM Evolution
  • Computer network
  • Human–computer interaction
  • Distributed computing
  • Engineering
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