Connectivity enhancement of e-vanet based on ql-mrsu self-learning energy-saving algorithm

HIGHLIGHTS

  • who: YUXIANG FENG and colleagues from the School of Computer Software Engineering, Xihua University, Chengdu, China have published the research: Connectivity Enhancement of E-VANET Based on QL-mRSU Self-Learning Energy-Saving Algorithm, in the Journal: (JOURNAL)
  • what: The authors propose a QL-mRSU series artificial intelligence energy saving method to optimize the energy consumption of parked electric vehicles during communication. The authors design a WSN intelligent routing algorithm based on having clusters and cluster heads and use parameters such as remaining power and charging index as evaluation indicators for filtering out the most . . .

     

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