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.
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Updated 23 Apr 2023

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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.

Cite As

Ardavan Rahimian (2024). IoT Sensor Position Optimization Using Genetic Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/128358-iot-sensor-position-optimization-using-genetic-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0