Research on Adaptive State Update Strategy of Distributed Interactive Simulation

It´s well-known that dead reckoning algorithm (DR algorithm) used in distributed interactive simulation (DIS) can effectively reduce the amount of communication and its synchronization accuracy is acceptable commonly. But in the scenario-based interactive simulation applications, when DR algorithm is used alone the state of nodes are still likely to be inconsistent because of network delay and user interaction. And that would lead to some conflicts in the state of key events and scenes. A new practical method is proposed to solve this problem by using the adaptive state update strategy in sensitive region. The state update frequency can be adaptively adjusted according to the congestion state of the network. The distributed interactive simulation for explosive disposal training is conducted to test our method. Experimental results show that it can effectively maintain the real-time state synchronization.