基于奖励因子的P2P博弈模型

通过分析现有的信任模型,以解决P2P网络信任问题为出发点,提出了基于奖励因子的P2P博弈模型,该模型对选择合作行为的节点进行奖励,并根据网络合作节点的占有率对奖励因子进行调整,以此激励单个节点的合作行为选择,促进网络更多节点进行合作,以获取更大的奖励,通过这一良性循环.仿真实验表明,奖励因子对于节点间的信任关系,以及整个网络的稳定性有明显的作用.

A Game Model of P2P Based on Reward Factor

In recent years,P2P networks have brought more convenience for many people,at the same time,the trust issue has become more evident in this network.After analyzing the existing trust model,this paper presents a P2P game model which is based on the reward factor with solving the trust problem as a starting point.This model rewards the nodes which choose the cooperative behavior and it adjusts the reward factor according to the occupancy of the cooperate nodes in network so as to encourage a single node to cooperate with others,then to promote more nodes to take cooperative action to obtain greater rewards.Through this virtuous circle,the simulation experiments show that the reward factor significantly improves the trust relationship between nodes as well as the stability of the whole network.