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Switching Strategy for Connected Vehicles Under Variant Harsh Weather Conditions

  • Published:2023 Issue: Volume:7 Page:371-378
  • ISSN:2469-7281
  • Container-title:IEEE Journal of Radio Frequency Identification
  • language:
  • Short-container-title:IEEE J. Radio Freq. Identif.

Author:

Liu Jian1ORCID,Nazeri Amirhossein2ORCID,Zhao Chunheng2ORCID,Abuhdima Esmail3ORCID,Comert Gurcan3ORCID,Huang Chin-Tser2ORCID,Pisu Pierluigi2ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA

2. International Center for Automotive, Clemson University, Greenville, SC, USA

3. Department of Computer Science, Physics and Engineering, Benedict College, Columbia, SC, USA

Funder

Center for Connected Multimodal Mobility (C2M2) (USDOT Tier 1 University Transportation Center) Grant headquartered at Clemson University, Clemson, SC, USA

U.S. Department of Homeland Security (DHS) Summer Research Team Program Follow-On

FY19 U.S. Department of Education MSEIP

Department of Energy, MSIPP TOA

National Nuclear Security Administration

WORC II PuMP

NASA ULI

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Instrumentation

Cited by 1 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. Adaptive Channel Switching for Connected Vehicles under Extreme Weather Conditions: A Reinforcement Learning Based Approach;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19
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