一种基于感知模型的Timewarp算法

A Timewarp algorithm based on awareness model

针对MMOG同步算法中状态回卷效率低的问题,提出一种基于感知模型的Timewarp算法。该算法采用基于视觉行为特征的感知模型,根据感知模型中不同层次对一致性的要求程度的不同和对象对游戏状态的影响度,对未过时的迟到事件进行综合分析与过滤,仅对一部分迟到事件执行状态回卷。实验结果证明,该算法能减少回卷次数并降低通信量,从而提高游戏的交互性与可玩性。

A Timewarp algorithm based on awareness model is proposed to address the problem of inefficient state rollback in synchronization algorithm of MMOG.According to the differentia of consistency requirements in different levels and the object effect in game state,the algorithm analyses and filters almost all the latency events,only pushs back part of latency events.The simulation results show that the improved algorithm can reduce the rollback number effectively and decrease traffic flux,so that MMOG＇s interactivity and playability are uplifted.