Journal of the Korea Society for Simulation (한국시뮬레이션학회논문지)

The Korea Society for Simulation (한국시뮬레이션학회)
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Method for Analysis of C3 System of Systems Using Transformation of Federation Based on an Extended DEVS Formalism

확장된 DEVS 형식론 기반 페더레이션의 변환을 통한 C3 복합 체계의 분석 방법

  • Received : 2018.07.18
  • Accepted : 2018.09.01
  • Published : 2018.09.30
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Abstract

The system of systems (SoS) based analysis method for the C3 system consisting of the communication system and the command and control (C2) system has the advantage that detailed analysis is possible, but it requires long execution time per one trial, which makes the analysis of various scenarios difficult. To solve this problem, this paper proposes a method for analysis of C3 SoS using a transformation of a federation into an integrated simulation. This transformation technique reduces the execution time while maintaining accuracy by abstracting the system other than the one to be analyzed, consisting of model hypothesis and function identification. The former can construct an abstracted model for the simulation through the proposed extended Discrete Event Systems Specification (DEVS) formalism and the latter can express the characteristics of the model influenced by other systems. From the case study on C and C2 analysis, the experimental results show that this method shortened the time considerably while maintaining the accuracy within an acceptable error range and we expect that this method will enable the exploratory analysis of the complex systems other than C3.

통신 시스템과 지휘통제 시스템으로 구성된 C3 시스템에 대한 복합체계 기반 분석 방법은 상세한 분석이 가능하다는 장점을 지니지만, 한 번 수행하는데 긴 실행 시간을 요구하고, 이는 다양한 시나리오의 분석을 어렵게 한다. 이를 해결하기 위해, 본 논문에서는 페더레이션으로부터 단일 시뮬레이션으로의 변환 기법을 통한 C3 복합 체계 분석 방법에 대해 제안한다. 본 변환 기법은 분석하고자 하는 이외의 시스템을 추상하여, 정확성을 유지하면서 실행 시간을 단축하고, 이는 model hypothesis와 function identification이 주가 된다. model hypothesis에서는 확장된 DEVS 형식론을 통해 시뮬레이션 가능한 추상화된 모델을 구성할 수 있고, function identification에서는 해당 모델이 타 시스템으로부터 받는 영향을 표현할 수 있다. 통신 및 C2 시스템 분석에 대한 실험을 통해, 제안한 방법은 일정 오차 범위 이내에서 정확성을 보존하면서 시뮬레이션 시간을 단축하였고, 이를 통해 C3 이외의 다양한 복합 체계에 대한 탐색적 분석이 가능할 것으로 기대한다.

Keywords

References

  1. Bae, J.W., J.H. Kim, I.C. Moon, and T.G. Kim (2016) "Accelerated simulation of hierarchical military operations with tabulation technique", Journal of Simulation, 10(1), 36-49. https://doi.org/10.1057/jos.2014.37
  2. Bai, F. and A. Helmy (2004) A survey of mobility models in wireless ad hoc networks, University of Southern California, USA.
  3. Bigelow, J.H. and P.K. Davis (2003) Implications for model validation of multiresolution, multi perspective modeling and exploratory analysis, Rand, USA
  4. Gebali, F. (2008) Analysis of Computer and Communication Networks, Springer, Canada.
  5. IEEE Computer Society (2010) IEEE standard for modeling and simulation: High level architecture - HLA framework and rules, IEEE Standard 1516-2010.
  6. Kang, B.G., K.M. Seo, and T.G. Kim (2018) "Communication analysis of network-centric warfare via transformation of system of systems model into integrated system model using neural network", Complexity, 2018, 1-16.
  7. Kang, B.G., K.M. Seo, B.S. Kim, and T.G. Kim (2018) "Simulation-based analysis of C system in C3 system of systems via machine-learning based abstraction of C2 System", Journal of the Korea Society for Simulation, 27(1), 61-73. https://doi.org/10.9709/JKSS.2018.27.1.061
  8. Miner, N.E., B.P. Van Leeuwen, M.A. Smith, K.M. Welch, and M.D. Estill (2011) Bridging the Information Gap Between Diverse Modeling and Simulation Tools, Sandia National Lab, USA.
  9. Morris, M.D. (1991) "Factorial sampling plans for preliminary computational experiments", Technometrics, 33(2), 161-174. https://doi.org/10.1080/00401706.1991.10484804
  10. Perry, W., R.W. Button, J. Bracken, T. Sullivan, and J. Mitchell (2002) Measures of Effectiveness for the information-Age Navy, Rand, USA
  11. Pianosi, F., F. Sarrazin, and T. Wagener (2015) "A Matlab toolbox for global sensitivity analysis", Environmental Modeling & Software, 70, 80-85. https://doi.org/10.1016/j.envsoft.2015.04.009
  12. Porche, I., L. Jamison and T. Herbert (2004) Framework for Measuring the Impact of C4ISR Technologies and Concepts on Warfighter Effectiveness Using High Resolution Simulation, Rand, USA
  13. Sanchez, S.M. and H. Wan (2009) "Better than a petaflop: The power of efficient experimental design", Proceedings of the 2009 Winter Simulation Conference, Austin, USA, 60-74.
  14. Worden, K. et al. (2007) "Identification of pre-sliding and sliding friction dynamics: Grey box and black-box models", Mechanical systems and signal Processing, 21(1), 514-534. https://doi.org/10.1016/j.ymssp.2005.09.004
  15. Zeigler, B.P., H. Praehofer, and T.G. Kim (2001) Theory of modeling and simulation (2nd Edition) Academic Press, USA.