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Optimized Medium Access Probability for Networked Control Systems

네트워크 제어 시스템을 위한 최적화된 매체 접근 확률

  • Received : 2015.08.27
  • Accepted : 2015.09.18
  • Published : 2015.10.31

Abstract

Distributed Networked Control Systems (NCSs) through wireless networks have a tremendous potential to improve the efficiency of various control systems. In this paper, we define the State Update Interval (SUI) as the elapsed time between successful state vector reports derived from the NCSs. A simple expression of the SUI is derived to characterize the key interactions between the control and communication layers. This performance measure is used to formulate a novel optimization problem where the objective function is the probability to meet the SUI constraint and the decision parameter is the channel access probability. We prove the existence and uniqueness of the optimal channel access probability of the optimization problem. Furthermore, the optimal channel access probability for NCSs is lower than the channel access probability to maximize the throughput. Numerical results indicate that the improvement of the success probability to meet the SUI constraint using the optimal channel access probability increases as the number of nodes increases with respect to that using the channel access probability to maximize the throughput.

Keywords

Wireless Communication;Medium Access Control;Networked Control Systems;State Update Interval

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