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Dead Reckoning mechanism allows reducing the network utilization considerablywhen used in Distributed Interactive Simulation Applications. However, thistechnique often ignores available contextual information that may beinfluential to the state of an entity, sacrificing remote predictive accuracyin favor of low computational complexity. The remainder of this paper focuseson the analysis of the Dead Reckoning Algorithms. Some contributions areexpected and overviews of the major bandwidth reduction techniques currentlyinvestigated are discussed. A novel extension of Dead Reckoning based on ANFISsystems is suggested to increase the network availability and fulfilling therequired QoS in such applications. The model shows it primary benefitsregarding the other research contributions, especially in the decision makingof the behavior of simulated entities.

Survey study of the QoS Management in Distributed Interactive Simulation Through Dead Reckoning Algorithms