Research on incentive strategy for optimal provisioning and dynamic pricing control of monopoly networks

The problems of incentive pricing control on multi-priority monopoly network system have been investigated by introducing the idea of game theory. We have studied the scalable connection management strategy for quality of enabled networks service to make the benefits of the network system and users maximal and given the calculation methods for the optimal provisioning and dynamic pricing of multi-priority networks. The nonlinear and crossing influence on incentive pricing control strategy was given to encourage and guide the users to select the serving request that is helpful to the network system. The users will be amerced in economy when the demand of users deviates the expectation value, and this will help to increase the rate of network resource using. At the same time, the incentive effect on the network system is modulated and controlled by changing the parameters. The results of simulation also demonstrate the incentive pricing control strategies are effective and practical.