Aiming at the problem of energy consumption and co-channel interference caused by dense deployment of access points (APs) in wireless local area networks (WLANs)

we propose a Bayesian game-based energy saving scheme (BYG-ES). Firstly

we measure energy consumption on the different real AP devices

and model the relationship among AP transmission power

forwarding load and energy consumption. Then

based on the mathematical relationship model and network status information collected by controller of software-defined network in real time

a Bayesian game based energy optimization design is proposed. Finally

the social selection function is used to solve the energy optimization model

and then the sets of sleeping APs and transmit power configuration rules under the interference constraints are obtained to complete user traffic offloading and AP transmit power configuration. Meanwhile

the BYG-ES can guarantee honesty of all participants during the Bayesian game. Simulation results demonstrate that the BYG-ES can minimize system energy consumption and improve network performances simultaneously.