【摘要】 首先建立了网络Stackelberg Game模型,分析了该模型下Nash均衡的存在性,给出了网络的队最优解。在网络资源管理中,引入基于Stackelberg Game的网络诱导策略,利用动态博弈和多次逐步诱导的方法,提出了一种网络由一般状态到最优运行状态的动态调度算法。队最优解保证了网络在最优运行状态下的稳定性。数值仿真验证了该算法的有效性。更多还原

【Abstract】 First, a Stackelberg Game network model was built. In this model, the existence of Nash equilibrium was analyzed and the team optimal solution of the network was available. Then a network scheduling algorithm based on Stackelberg Game with incentive strategy which can adjust the network from general state to optimal state by dynamic Game and gradual induction was introduced into the network resource management. The team-optimal solution ensures the stability of network in the optimal state. Finally, the simulation results demonstrate the effectiveness of the algorithm.更多还原