Wireless mesh networks allow nodes to communicate directly with each other. However, implementing mesh networks in practice is challenging due to heterogeneity and the large number of users in cities requiring automatic organization. This thesis investigates using principles from the human immune system and pheromone signaling to address problems with routing, channel assignment, and quality of service in mesh networks. Specifically, it proposes adapting mate selection mechanisms between animals to network interconnection and models this using genetic algorithms and simulations in MATLAB.