Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Markov Model-Driven in Real-time Faulty Node Detection for Naval Distributed Control Networked Systems

마코브 연산 기반의 함정 분산 제어망을 위한 실시간 고장 노드 탐지 기법 연구

  • Noh, Dong-Hee (Dept. of IT Convergence, Kumoh National Institute of Technology) ;
  • Kim, Dong-Seong (Dept. of Electronic Engineering, Kumoh National Institute of Technology)
  • 노동희 (금오공과대학교 IT융복합공학과) ;
  • 김동성 (금오공과대학교 전자공학부)
  • Received : 2014.07.07
  • Accepted : 2014.09.15
  • Published : 2014.11.01
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Abstract

This paper proposes the enhanced faulty node detection scheme with hybrid algorithm using Markov-chain model on BCH (Bose-Chaudhuri-Hocquenghem) code in naval distributed control networked systems. The probabilistic model-driven approach, on Markov-chain model, in this paper uses the faulty weighting interval factors, which are based on the BCH code. In this scheme, the master node examines each slave-nodes continuously using three defined states : Good, Warning, Bad-state. These states change using the probabilistic calculation method. This method can improve the performance of detecting the faulty state node more efficiently. Simulation results show that the proposed method can improve the accuracy in faulty node detection scheme for real-time naval distributed control networked systems.

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References

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