DOI QR코드

DOI QR Code

Simulation-Based Analysis of C System in C3 System of Systems Via Machine-Learning Based Abstraction of C2 System

머신러닝 기반의 C2 시스템 추상화를 통한 C3 복합체계에서의 시뮬레이션 기반 통신 시스템 분석

  • Received : 2017.10.23
  • Accepted : 2018.01.23
  • Published : 2018.03.31

Abstract

In the defense modeling and simulation, for the detailed analysis of the communication system, many studies have carried out the analysis under the C3 SoS(system of systems) which consists of C2(command and control) and C(communication). However, it requires time and space constraints of the C2 system. To solve this problem, this paper proposes a communication analysis method in the standalone system environment which is combined with the C system after abstracting the C2 system. In the abstraction process, we hypothesize the traffic model and mobility model for C system analysis and learn the parameters in the model based on machine learning. Through the proposed method, it is possible to construct traffic and mobility model with different output according to the battlefield. This case study shows how the process can be applied to the C3 SoS and the enhanced accuracy than the existing method. We expect that it is possible to carry out the efficient communication analysis against many experimental scenarios with various communication parameters.

최근 국방 모델링 및 시뮬레이션에서 상세한 통신 분석을 수행하기 위하여, 지휘통제(C2: Command and Control)와 통신(C: Communication) 시스템으로 구성된 C3복합체계(SoS: System of Systems)를 통하여 통신 시스템 분석을 수행하였다. 그러나 이러한 방법은 C2 시스템의 시간 및 공간적 제약을 요구한다. 이를 해결하기 위해, 본 연구에서는 C2 시스템을 추상화한 후, C 시스템과 결합하는 단일체계 환경에서의 통신 분석 방법에 대해 제안한다. 추상화 과정에 있어서, C 시스템 분석에 필요한 트래픽 모델과 모빌리티 모델을 정의하고, 모델 내부의 파라미터를 머신 러닝기반으로 학습한다. 제안한 기법을 통해 전장 환경에 따라서 다른 출력을 갖는 형태의 트래픽 및 모빌리티 모델 구성이 가능하다. 본 논문에서는 이러한 C2 시스템 추상화 과정을 C3 복합체계에 적용하여 보여주고, 실험을 통해 복합체계 분석에 있어서 기존 방법보다 정확한 분석이 가능함을 보였다. 제안한 방법으로 통해, 다양한 통신 파라미터를 갖는 실험 시나리오에 대해 효율적인 통신 분석이 가능할 것으로 기대한다.

Keywords

References

  1. Bai, F. and A. Helmy (2004) "A survey of mobility models in wireless ad hoc networks", University of Southern California, USA.
  2. Bindra, H.S., S.K. Maakar and A.L. Sangal (2010) "Performance evaluation of two reactive routing protocols of MANET using group mobility model", International Journal of Computer Science, 7(3), 38-43.
  3. Choi, J.M. and Y.B. Ko (2004) "A performance evaluation for ad hoc routing protocols in realistic military scenarios", Proceedings of the International Conference on Cellular and Intelligent Communications.
  4. Dekker A.H. (2002) C4ISR architectures, social network analysis and the FINC methodology: an experiment in military organisational structure, DTIC document.
  5. Department of Defense (2014) TENA-the test and training enabling architecture reference document, Available from: https://www.tena-sda.org.
  6. Fongen, A., M. Gjellerud and E. Winjum (2009) "A military mobility model for manet research", Proceedings of the Parallel and Distributed Computing and Networks.
  7. Gebali, F. (2008) Analysis of Computer and Communication Networks, Springer.
  8. Geyer, F., S. Schneele and G. Carle (2013) "RENETO, a realistic network traffic generator for OMNeT++/INET", Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques, Cannes, France, 73-81.
  9. Henderson, T.R., M. Lacage, G.F. Riley, C. Dowell and J. Kopena (2008) "Network simulations with the ns-3 simulator", Proceedings of SIGCOMM'08, Seattle, USA, 527.
  10. Hong, J.H., K.M. Seo and T.G. Kim (2013) "Simulation-based optimization for design parameter exploration in hybrid system: a defense system example", Simulation: Transactions of the Society for Modeling and Simulation International, 89(3), 362-380. https://doi.org/10.1177/0037549712466707
  11. IEEE Computer Society (2010) IEEE standard for modeling and simulation: High level architecture - HLA framework and rules, IEEE Standard 1516-2010.
  12. Katiyar, S., R. Gujral and B. Mallick (2015) "Comparative performance analysis of MANET routing protocols in military operation using NS2", Proceedings of 2015 International Conference on Green Computing and Internet of Things, Delhi, India, 603-609.
  13. Kaur, S. and C. Sharma (2013) "An Overview of Mobile Ad hoc Network: Application, Challenges and Comparison of Routing Protocols", IOSR Journal of Computer Engineering, 11(5), 7-11. https://doi.org/10.9790/0661-1150711
  14. Khan, M.F., E.A. Felemban, S. Qaisar and S. Ali (2013) "Performance Analysis on Packet Delivery Ratio and End-to-End Delay of Different Network Topologies in Wireless Sensor Networks (WSNs)", Proceedings of Mobile Ad-hoc and Sensor Networks (MSN), Dalian, China, 324-329.
  15. Kim, T.G., C.H. Sung, S.Y. Hong, J.H. Hong, C.B. Choi, J.H. Kim, K.M. Seo and J.W. Bae (2011) "DEVSim++ toolset for defense modeling and simulation and interoperation", The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 8(3), 129-142. https://doi.org/10.1177/1548512910389203
  16. Kioumourtzis, G., C. Bouras and A. Gkamas (2012) "Performance evaluation of ad hoc routing protocols for military communications", International Journal of Network Management, 22(3), 216-234. https://doi.org/10.1002/nem.802
  17. Kodratoff, Y. (1988) Introduction to machine learning, Elsevier.
  18. Kumar, S., Agrawal, G. S., and Sharma, S. K. (2017) "Impact of Mobility on MANETs Routing Protocols Using Group Mobility Model." International Journal of Wireless and Microwave Technologies, 7(2), 1-12.
  19. Lu, X., Y.C. Chen, I. Leung, Z. Xiong and P. Lio (2008) "A novel mobility model from a heterogeneous military MANET trace", Proceedings of the 2008 ADHOC-NOW international conference, Sophia-Antipolis, France, 463-474.
  20. Patil, G.M., A. Kumar and A.D. Shaligram (2016) "Performance Analysis and Comparison of MANET Routing Protocols in Selected Traffic Patterns For Scalable Network", International Journal of Computer Science and Information Technology and Security, 6(3), 109-117.
  21. 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.
  22. Porche, I., R. Isaac and W. Bradley (2006) "The impact of network performance on warfighter effectiveness", DTIC document.
  23. Rajabhushanam, C. and A. Kathirvel (2011) "Survey of wireless MANET application in battlefield operations", International Journal of Advanced Computer Science and Applications, 2(1), 50-58.
  24. Seo, H., S.H. Kim, and J.S. Ma (2010) "A novel mobility model for the military operations with real traces", Proceedings of the 12th International Conference on Advanced Communication Technology, Gangwon-do, South Korea, 129-133.
  25. Vishwanath, K.V. and A. Vahdat (2006) "Realistic and responsive network traffic generation", ACM SIGCOMM Computer Communication Review, 6(4), 111-122.