ECS Sensor Optimisation

This repository contains a small collection of MATLAB scripts for multi-objective sensor selection using genetic algorithms. Each script configures a set of sensors with different performance metrics and runs gamultiobj from MATLAB's Global Optimization Toolbox to find an optimal subset.

Prerequisites

You can clone the repository from GitHub using:

git clone https://github.com/username/ecs-sensor-optimisation.git

• MATLAB with the Global Optimization Toolbox installed.

Usage

Run any of the MATLAB scripts from the MATLAB command window or using the run command. For example:

run('air1.m');

The scripts will display optimization progress in the command window and plot the Pareto front of solutions. After completion, the selected sensors and their metrics are printed.

Scripts

• air1.m – Optimizes for coverage, cost, and reliability.
• mro1.m – Optimizes for coverage, cost, and data processing efficiency.
• oem1.m – Optimizes for accuracy, cost, information gain, and MTBF.

Each script defines its own list of sensors and constraints in the header section. Adjust these parameters to match your specific scenario.

License

This project is released under CC0 1.0.