Machine learning assists iot localization: a review of current challenges and future trends

HIGHLIGHTS

  • who: Reza Shahbazian and colleagues from the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, Rende, Italy have published the research: Machine Learning Assists IoT Localization: A Review of Current Challenges and Future Trends, in the Journal: Sensors 2023, 23, 3551. of /2023/
  • what: The authors examine the existing literature for published papers released between 2020 and 2022. The paper focused on LPWAN technologies such as LTE-M, Sigma, NB-IoT, LoRaWan, Weightless, UNB, and PRMA. The survey focused on the evaluation of communication networks (3G to 6G) and categorized the studies . . .

     

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