Dmlar: distributed machine learning-based anti-collision algorithm for rfid readers in the internet of things

HIGHLIGHTS

• who: Rachid Mafamane et al. from the LRIT Laboratory, Faculty of Science, Mohammed V University, Rabat, Morocco have published the paper: DMLAR: Distributed Machine Learning-Based Anti-Collision Algorithm for RFID Readers in the Internet of Things, in the Journal: Computers 2022, 11, x FOR PEER REVIEW of /2022/
• what: The authors propose an anti-collision protocol based on feed-forward Artificial Neural Network methodology for distributed learning between RFID readers to predict collisions and ensure efficient resource allocation (DMLAR) by considering the mobility of tags and readers. In thiscommunication paper, the authors focus on . . .
  

   

  

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