A Study on Simulation of Future Ground System Effectiveness Analysis Model with Communication Effects

통신효과를 고려한 미래지상체계 효과분석 시뮬레이션에 대한 연구

  • Shin, Sunwoo (Department of Industrial Management Engineering, Myongji University) ;
  • Lee, Jaeyeong (Industry and Academia Cooperation Foundation, Myongji University) ;
  • Bae, Sungmin (Department of Industrial Management Engineering, Hanbat University) ;
  • Kim, Chongman (Department of Industrial Management Engineering, Myongji University)
  • 신선우 (명지대학교 산업경영공학과) ;
  • 이재영 (명지대학교 산학협력단) ;
  • 배성민 (한밭대학교 산업경영공학과) ;
  • 김종만 (명지대학교 산업경영공학과)
  • Received : 2017.06.20
  • Accepted : 2017.06.27
  • Published : 2017.06.25

Abstract

Purpose: In this research, we develop an effectiveness analysis simulation model using Agent Based Modeling with Communication Effects for the development of a new weapon system. Methods: To describe the future battlefield that has more complexity, we develop Agent Based Modeling to describe communication Effects. We use the communication theory (Path-Loss Model) and the real map. Results: We have compared simulation model with real map and simulation model without real map. The Blue Survival Ratio of simulation model with real map is worse than one without real map since the performance of communication gets lower. Conclusion: There are many studies about the effectiveness analysis of a weapon system. Most of previous researches assumed no communication error. In the real world, however, it's not appropriate assumption. Therefore, this study considers the communication error and shows that it is important factor in the effectiveness analysis.

Keywords

References

  1. Lee, W. S. (2010). "Not Kubuksun but robot". Sidaegosi.
  2. Lee, J. Y., Pyun, J. J. and Kim, C. M. (2014). "A Study of MOE Establishment for Improving the Credibility of UGV Effectiveness Analysis". Journal of the applied reliability, Vol. 14, No.3, pp. 197-202.
  3. Lee, J. Y. et al. (2014). "A Study of Experimental Design for Unmanned Ground Vehicle Effectiveness Based on a Small Unit Combat Scenario". Journal of the Korean Society for Quality Management, Vol. 42 No. 4, pp. 591-606. https://doi.org/10.7469/JKSQM.2014.42.4.591
  4. Kim, H. S., Lee, J. H. and Shin, H. S. (2006). "Agent-Based Modeling Methodology for Close- Combat Attrition Estimates". Journal of the Military Operations Research Society of Korea, Vol. 32, No. 2, pp. 56-77.
  5. Hong, J. W., Park, S. C. and Kwon, Y. J. (2013). "A Simulation on the Weapon System of Rotorcraft for Improving the Effects of Korean Future Combat System(FCS)". Journal of the KIMST, Vol. 16, No. 4, pp. 501-506.
  6. Kho, Y. H. et al. (2014). "M&S Case Study for Information Sharing Enabled Combat Entities". Journal of the KIMST, Vol. 17, No. 4, pp. 395-403.
  7. Lee, J. Y. et al. (2015). "Interrelation Analysis of UGV Operational Capability and Combat Effectiveness using AnyLogic Simulation". Journal of the applied reliability, Vol 15, No. 2, pp. 131-138.
  8. Lee, J. Y., Shin, S. W. and Kim, C. M. (2017). "Analysis of combat effectiveness about altitude difference using terrain cell". 2017 Winter Conference of Society for Computational Design and Engineering, Vol. 2017, No. Winter, p. 55.
  9. Lee, J. Y., Kim, C. M. and Shin, S. W. (2016). "A study of UGV effectiveness analysis considered with communication path-loss function". 2016 Winter Conference of Society for Computational Design and Engineering, Vol. 2016, No. p. 542.
  10. Kim, J. S. et al. (2014). "A Survey Study of the Combat Effectiveness Analysis Models and Future Research Areas". Transactions of the Society of CAD/CAM Engineers, Vol. 19, No. 4, pp. 305-315. https://doi.org/10.7315/CADCAM.2014.305
  11. Cil, I. and Mala, M. (2009). "MABSIM: A multi agent based simulation model of military unit combat". 2009 Second International Conference on the Applications of Digital Information and Web Technologies, pp. 731- 736.
  12. Roshni Srinvasen et al. (2009). "IEEE 802.16m evaluation methodology". IEEE 802.16 Standards and Drafts.
  13. Pekka Kyosti et al. (2006). "WINNER II Interim Channel Models". WINNER II.
  14. Pekka Kyosti et al. (2007). "WINNER II Channel Models". WINNER II.