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Optimizing Resource and Service Allocations for IoT-Assisted Intelligent Transportation Systems

  • Published:2022 Issue: Volume: Page:1-11
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Manogaran Gunasekaran1ORCID,Gao Jiechao2ORCID,Nguyen Tu N.3ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Howard University, Washington, DC, USA

2. Department of Computer Science, University of Virginia, Charlottesville, VA, USA

3. Department of Computer Science, Kennesaw State University, Marietta, GA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multi-Objective Resource Pre-Allocation Scheme Using SDN for Intelligent Transportation System;IEEE Transactions on Intelligent Transportation Systems;2024-01

2. Supervised Learning Resource Allocation Over Bandwidth Constrained Linear Vehicular Network;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

3. Guest Editorial Introduction to the Special Issue on Internet of Things in Intelligent Transportation Infrastructure;IEEE Transactions on Intelligent Transportation Systems;2023-11

4. Benchmarking 5G MEC and Cloud Infrastructures for Planning IoT Messaging of CCAM Data;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
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