基于多优先级的网络通信量的价控问题

在多优先级网络中，为了满足各个用户的发送要求，解决网络拥塞并且使用户和网络整体获益，讨论了多优先级网络中通信量的价控问题。使用Nasll平衡和Stackelberg策略，以价格控制为桥梁，调节用户在各优先级的发送量。在假设流量是不同优先级发送信息量函数的情况下，讨论了用户的盈余情况。不仅保证得到较满意的盈余值，而且能使网络更加平衡稳定地运行。改进了对已有的价控问题的研究，从而也可以更加合理、有效地利用网络。仿真结果说明了此方法的适用性。

Pricing Problem of Traffic Control Based on Multi-priority Networks

In order to satisfy transfer request of users, solve network congestion and insure the whole interest of users and network, the pricing problem of traffic control based on multi-priority networks is discussed by means of the principle of incentive strategy in Stackelberg game theory. Pricing control is a bridge to adjust the sent traffic of different priority. Supposing traffic is the function of the sent information rate under different priority respectively, user surplus function is studied. Not only the satisfied surplus value is guaranteed, but also the network is balanced and stabilized. The existed research result about the pricing problem is improved so as to make use of the network more availably and reasonably. The simulation result shows the efficiency of the incentive pricing strategy.