2010/08/23 by Akram Hakiri, Hakiri, Akram, Pascal Berthou +3
Computer Science · Decision Sciences · #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Simulation Techniques and Applications #cs.NI
paper · pdf · doi:10.48550/arxiv.1008.3758
arxiv created 2010/08/23 · openalex publication_date 2010/08/23 · arxiv updated 2010/08/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Dead Reckoning mechanism allows reducing the network utilization considerably when used in Distributed Interactive Simulation Applications. However, this technique often ignores available contextual information that may be influential to the state of an entity, sacrificing remote predictive accuracy in favor of low computational complexity. The remainder of this paper focuses on the analysis of the Dead Reckoning Algorithms. Some contributions are expected and overviews of the major bandwidth reduction techniques currently investigated are discussed. A novel extension of Dead Reckoning based on ANFIS systems is suggested to increase the network availability and fulfilling the required QoS in such applications. The model shows it primary benefits regarding the other research contributions, especially in the decision making of the behavior of simulated entities.