A Fuzzy Dead Reckoning Algorithm for Distributed Interactive Applications
A fuzzy Dead Reckoning (DR) algorithm for distributed interactive applications is proposed in this paper. Since fixed threshold cannot adequately handle the dynamic relationships between moving entities, some multi-level threshold DR algorithms were proposed in the past few years. In these algorithms the level of threshold is adaptively adjusted based on the distance between entities. The proposed fuzzy DR algorithm is based on multi-level threshold DR algorithm and takes all properties of entity (e.g. position, size and view angle etc.) into consideration when adjusting the level of threshold. This algorithm employs fuzzy correlation degree to measure the relationships between entities and determine the level of threshold for DR algorithm. Fuzzy consistent relation is used to distribute weight for each property. Simulation results indicate that fuzzy DR algorithm can achieve a considerable reduction in the number of state update messages while maintaining adequate accuracy in extrapolation.
KeywordsAccuracy Rate View Angle Dead Reckoning Interactive Application High Fidelity Model
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- 1.DIS Steering Committee. The DIS vision, a map to the future of distributed simulation. Technical Report IST-SP-94-01, Institute for Simulation and Training, Orlando FL. (1994) Google Scholar
- 2.Leigh, J.: A review of tele-immersive applications in the CAVE research network. In: Proc. of IEEE International Conference on Virtual Reality, pp. 180–187 (1999)Google Scholar
- 3.Department of Defense. High Level Architecture programmers guide (1998)Google Scholar
- 4.IEEE 1278-1993. Standard for information technology - protocols for distributed interactive simulation applications (1993)Google Scholar
- 5.Shanks, G.C.: The RPR FOM, a reference federation object model to promote simulation interoperability. In: Proc. of Spring Simulation Interoperability Workshop (1997)Google Scholar
- 7.Pope, A.R.: The SIMNET network and protocols. Report No. 7262, BBN Systems and Technologies, Cambridge MA (1991)Google Scholar
- 10.Cai, W., Lee, F.B.S., Chen, L.: An auto-adaptive dead reckoning algorithm for distributed interactive simulation. In: Proc. of Workshop on Parallel and Distributed Simulation, pp. 82–89 (1999)Google Scholar
- 11.Lin, K.C.: Dead reckoning and distributed interactive simulation. In: Proc. of DIS Systems in the Aerospace Environment/Critical Reviews, pp. 16–36 (1995)Google Scholar
- 12.Katz, A.: Synchronization of networked simulations. In: Proc. of DIS Workshop on Standards for the Interoperability of Distributed Simulation, pp. 81–87 (1994)Google Scholar
- 15.Tan, G., Zhang, Y.S., Ayani, R.: A hybrid approach to data distribution management, In Proc. of IEEE International Workshop on Distributed Simulation and Real-Time Applications, pp. 55–61 (2000)Google Scholar