Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (8): 1873-1880.doi: 10.3969/j.issn.1001-506X.2020.08.30

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Reliability evaluation of heterogeneous simulation network with imperfect vertice using Monte Carlo simulation

Yulong WANG1,2(), Wencheng PENG1(), Zhiming DONG1(), Ziwei ZHANG1()   

  1. 1. Military Exercise and Training Center, Army Academy of Armored Forces, Beijing 100072, China
    2. Department of Equipment Support, Logistics University of the PAP, Tianjin 300309, China
  • Received:2020-01-10 Online:2020-07-25 Published:2020-07-27
  • Supported by:
    军队科研计划项目(41401020301);军队科研计划项目(41405030302)

Abstract:

The heterogeneous simulation network is the basic environment support for the live, virtual, and constructive (LVC) simulation. Reasonable evaluation of its reliability plays an important role in LVC simulation applications. Aiming at the problem in obtaining accurate solutions and poor efficiency for reliability evaluation of complex networks, a Monte Carlo evaluation method of the LVC heterogeneous simulation network considering imperfect vertices is proposed. Firstly, based on the characteristics of the heterogeneous network and the factoring theorem, the equivalent conversion of the cellular network and the wireless sensor network is performed. Secondly, the reliability preserving reduction technology is used to reduce the converted simulation network to improve the algorithm efficiency and convergence speed. Monte Carlo simulation is performed on the simplified equivalent network reliability calculation based on the principles of imperfect vertices conversion. The reliability evaluation of the LVC heterogeneous simulation network connectivity is realized. The calculation results show that, compared with the traditional Monte Carlo method, the proposed method can reduce the variance, decrease the operating load and improve the stability while ensuring the calculation accuracy.

Key words: live, virtual, and constructive (LVC) simulation, heterogeneous simulation network, connecting reliability, imperfect vertice, Monte Carlo

CLC Number: 

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