A Hybrid Evolutionary Game Theory in QoS Routing of Wireless Mesh Networks

Wireless mesh networks are a powerful and reliable solution to create and access wireless broadband services for Internet service providers, network construction, military applications and other end users are considered. These networks have features such as high reliability, low installation cost, wide coverage area and connect to the network automatically. The QoS routing service is a primary problem for wireless mesh networks. Evolutionary game theory by which agents can play optimal strategies in the absence of rationality. Through the process of Darwinian selection, a population of agents can evolve to an Evolutionary Stable Strategy. In this article we have tried to solve this problem by using evolutionary game theory as a hybrid genetic algorithm to optimize the parameters by simulated anneling at lower cost than traditional routing arrived. The results of the simulation and compare it with other optimization algorithms confirms that the evolutionary game parameters can be optimized by the evolutionary algorithms and achieve better results.