Efficient wsn node placement by coupling knn machine learning for signal estimations and i-hbia metaheuristic algorithm for node position optimization

HIGHLIGHTS

• who: Firstname Lastname et al. from the UMR CNRS , SPE, University of Corsica, Corte, France have published the paper: Efficient WSN Node Placement by Coupling KNN Machine Learning for Signal Estimations and I-HBIA Metaheuristic Algorithm for Node Position Optimization, in the Journal: Sensors 2022, 22, 9927. of /2022/
• what: The authors propose a novel approach based on machine learning (ML) and metaheuristics (MH) for supporting decision-makers during the deployment process. To highlight the contribution the authors compare the performances of the canonical algorithm and the algorithm on classical optimization benchmarks. The approach provides . . .
  

   

  

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