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RL-MINDS: Reinforcement Learning for Mobility-Induced Duty-Cycles in WSN for Underground Mines

  • Missouri University of Science and Technology
  • Washington State University Tri-Cities

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2026 27th IEEE International Conference on Mobile Data Management, MDM 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-11
Number of pages11
ISBN (Electronic)9798319533104
DOIs
StatePublished - 2026
Event27th IEEE International Conference on Mobile Data Management, MDM 2026 - Athens, Greece
Duration: Jun 29 2026Jul 2 2026

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
ISSN (Print)1551-6245

Conference

Conference27th IEEE International Conference on Mobile Data Management, MDM 2026
Country/TerritoryGreece
CityAthens
Period6/29/267/2/26

ASJC Scopus Subject Areas

  • General Engineering

Keywords

  • Wireless sensors
  • duty-cycle
  • proximal policy optimization
  • underground mines
  • variational autoencoder

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