Generalized Particle Swarm Optimization-Based Channel Allocation Algorithm for Wireless Mesh Networks

In this article, we present the source code for GreenSim team's original MATLAB function implementing a generalized particle swarm optimization (PSO) based channel allocation algorithm for wireless mesh networks. This algorithm is specifically designed to address channel assignment challenges in wireless mesh network configurations. The implementation utilizes PSO to optimize channel allocation parameters with the primary objective of maximizing network throughput. The MATLAB code features comprehensive implementation details including: - Initialization of particle positions representing potential channel allocation solutions - Fitness function calculation evaluating network throughput performance - Velocity update mechanism incorporating cognitive and social components - Iterative optimization process with convergence criteria We provide detailed code annotations throughout the source to facilitate understanding of the algorithmic implementation process, including key functions for swarm initialization, fitness evaluation, and position updating. The code structure allows for customization of network parameters and optimization constraints to adapt to various wireless mesh network scenarios.