Universal MATLAB Source Code for Wireless MESH Network Channel Allocation Algorithm Based on Particle Swarm Optimization

This document presents a universal MATLAB source code implementation for wireless MESH network channel allocation using Particle Swarm Optimization (PSO) algorithm. The algorithm combines conflict graph theory with PSO optimization techniques to address challenging channel allocation problems in wireless MESH networks. The implementation utilizes particle swarm optimization, which mimics natural swarm behavior by simulating bird flocking patterns to search for optimal solutions. By integrating PSO with conflict graph modeling, the algorithm effectively resolves channel allocation conflicts and optimizes network performance. The MATLAB code includes key functions for initialization, fitness evaluation, velocity updates, and position updates that implement the core PSO mechanics. Key algorithmic components include: - Conflict graph construction to model network interference relationships - Particle initialization with random channel assignments - Fitness function calculation based on interference minimization - Velocity and position update rules incorporating personal and global best solutions - Convergence criteria for optimal channel allocation This generic MATLAB implementation allows researchers and engineers to apply the algorithm directly to their projects, with flexibility to modify parameters and optimize for specific network configurations. The code structure supports easy customization of network topologies, channel constraints, and optimization objectives. The algorithm provides an effective approach to enhance wireless MESH network performance through intelligent channel allocation.