基于移动对等网络稳定组运动模型的研究

研究了移动对等网络拓扑结构变化与网络设备使用者位置、兴趣等变化的对应关系，通过使用稳定组运动模型捕获移动网络中的结点运动规律，对移动结点进行有效地分组，使得同组内结点之间相对保持最大程度的网络拓扑结构的稳定，同时利用组内移动结点网络连接相对稳定和对等网络特有的自增长特性，快速放大移动对等媒体流系统的系统能力，通过与传统算法的性能比较，表明了提出的稳定组运动模型在移动对等媒体流系统中的有效性。

A Stable Group Model Based on Mobile Peer-to-Peer

Topological dynamics of mobile peer-to-peer are exacerbated by the changes of mobile user's location and interest. An attempt is made to predict the future availability of wireless links based on stable group mobility model. Intuitively, mobile peers within the same group tend to have a high probability of keeping stable distances from each other. The stable-group model is used, which helps predict the future availability of wireless links and leads to fast amplifying the system's total streaming capacity using its self-growing. The extensive simulation results show the efficiency of the proposed model in a mobile peer-to-peer media streaming system.