IoT Sensor Position Optimization Using Genetic Algorithm

This code demonstrates the application of a genetic algorithm to optimize the positions of IoT sensor nodes in a fixed wireless network.

Vous suivez désormais cette soumission

This code demonstrates the application of a genetic algorithm (GA) in optimizing the positions of IoT sensor nodes within a fixed wireless network. The main objective is to minimize the energy consumption of the nodes. The code initializes the positions of the nodes, sets constraints and GA options, and finds the optimal node positions using GA. The code also includes functions for energy calculation and plotting the results.

Citation pour cette source

Ardavan Rahimian (2026). IoT Sensor Position Optimization Using Genetic Algorithm (https://fr.mathworks.com/matlabcentral/fileexchange/128358-iot-sensor-position-optimization-using-genetic-algorithm), MATLAB Central File Exchange. Extrait(e) le .

Add the first tag.

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Version Publié le Notes de version Action
1.0