An algorithm of load-balance based on evolutionary game theory in heterogeneous wireless networks

Nowadays kinds of wireless networks tend to be integrated, making the whole communication system more heterogeneous. Served by future wireless networks users can get appropriate and seamless service at anytime and anywhere. As a result, a good many technical problems emerges, including load-balance, network switch, etc. This article is related to the principle and mathematic model of evolutionary game theory, based on which an algorithm involved in load-balance is given. Applying the learning capacity, users in the model are able to evolve more proper resource-distribution strategies towards higher efficiency and lower cost under the evolutionary stable strategy. In addition, the simulation proves the effectiveness of the theory.