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On approach for analytical model development of neuron chips based LonWorks network


S. A. Dadenkov – Assistant, Perm National Research Polytechnic University
E. L. Kon – Ph.D. (Eng.), Professor, Perm National Research Polytechnic University

This paper proposes an approach for development of adequate analytical model of LonWorks network, which is useful for quantitatively performance evaluation of such systems. Survey on other researchers’ works in this area was carried out. A totally new, accurate combination of network performance operation factors was introduced. Construction of analytical model and calculation of timing and probabilistic behavior was accomplished by using discrete Markov chains. Also, there was formulated a system of contingencies making solution of analytical model more tractable. Proposed method was examined by modeling LonWorks network with particular addressing method. For modeling of other addressing services were offered a set of Markov graphs.

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