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Battlefield Data Quantization Method for War-Game Optimal Path Generation in Distributed Simulation

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Advanced Methods, Techniques, and Applications in Modeling and Simulation

Part of the book series: Proceedings in Information and Communications Technology ((PICT,volume 4))

Abstract

Modern War became to obtain information about a battlefield in real-time according to increase of intelligence and this information is used in creating the optimal path of units under operation. When battlefield data becomes diversified and detailed, reliability of the optimal path increases. But this situation also increases a possibility to cause trouble while transmitting these expanded data to each node and the time which is consumed to process battlefield information becomes the cause of declining performance. This study had applied quantization with an objective to increase performance as decreasing battlefield data and to maintain reliability. The study confirmed that only about half messages of DCPM [6] were created through experiments and proved that performance of the system was improved. The study also showed reliability of the created routes was not so different from routes, which DCPM is generated.

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References

  1. Vlahos, M.: The Naval War College and the American Mission, pp. 8–14. Naval War College Press (1981)

    Google Scholar 

  2. Lee, S.Y., Jang, S.H., Lee, J.S.: Modeling and Simulation of Optimal Path Considering Battlefield-situation in the War-game Simulation. Journal of the Korea Society for Simulation 19(3), 27–35 (2010)

    Google Scholar 

  3. Fullford, D.: Distributed interactive simulation: it’s past, present, and future. In: Proceedings of the Winter Simulation Conference, pp. 179–185 (1996)

    Google Scholar 

  4. Weatherly, R.M., Wilson, A.L., Griffin, S.P.: Alsp - Theory, Experience, and Future Directions. In: Proceedings of the Winter Simulation Conference, pp. 1068–1072 (1993)

    Google Scholar 

  5. Zeigler, B.P., Cho, H.J., Kim, J.G., Sarjoughian, H.S., Lee, J.S.: Quantization-based Filtering in Distributed Discrete Event Simulation. J. Parallel Distrib. Comput. 62, 1629–1647 (2002)

    Article  MATH  Google Scholar 

  6. Oh, H., Lee, J.S.: Optimal Path Generation System Using Distributed Simulation for War-game Moving Objects. In: The Korea Society for Simulation, Spring Conference, pp. 52–57 (2011)

    Google Scholar 

  7. Fujimoto, R.M.: Parallel and distributed simulation. In: Proceedings of the 1999 Winter Simulation Conference, pp. 122–131 (1999)

    Google Scholar 

  8. Zeigler, B.P., Praehofer, H., Kim, T.G.: Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems. Academic Press (2000)

    Google Scholar 

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© 2012 Springer Tokyo

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Oh, H., Lee, J.S. (2012). Battlefield Data Quantization Method for War-Game Optimal Path Generation in Distributed Simulation. In: Kim, JH., Lee, K., Tanaka, S., Park, SH. (eds) Advanced Methods, Techniques, and Applications in Modeling and Simulation. Proceedings in Information and Communications Technology, vol 4. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54216-2_36

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  • DOI: https://doi.org/10.1007/978-4-431-54216-2_36

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-54215-5

  • Online ISBN: 978-4-431-54216-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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