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.
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.
引用格式
Ardavan Rahimian (2026). IoT Sensor Position Optimization Using Genetic Algorithm (https://ww2.mathworks.cn/matlabcentral/fileexchange/128358-iot-sensor-position-optimization-using-genetic-algorithm), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0 |
