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

Keywords:

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.
References:

  1. Kam M. Collision Resolution Simulation for Distributed Control Architectures using LonWorks // IEEE International Conference on Automation Science and Engineering. Edmonton, Canada: IEEE. 2005.
  2. Miśkowicz M. Analysis of Mean Access Delay in Variable-Window CSMA // Sensors. Schweiz: Molecular Diversity Preservation International. 2007.
  3. Miśkowicz M. Access delay in LonTalk MAC protocol // Computer Standards & Interfaces. Nederland: Elsevier Science Publishing Company. 2008.
  4. Buchholz P., Plonnigs J. Analytical analysis of access-schemes of the CSMA type // Proc. of IEEE International Workshop on Factory Communication Systems WFCS’2004. Wien. 2004.
  5. Dadenkov S.A., Kon E.L. Issledovanie proizvoditel'nosti algoritma dostupa k srede predictive p-persistent CSMA protokola // Vestnik PNIPU. Perm': PNIPU. 2012.
  6. Dadenkov S.A., Kon E.L. Oczenka i analiz proizvoditel'nosti LonWorks seti na osnove predictive p-persistent CSMA protokola // Vestnik PNIPU. Perm': PNIPU. 2012.
  7. LonTalk protocol specification, ANSI/CEA-709.1-B. United States: ISO/IEC JTC 1 SC 25. 2006.
  8. Carter G.M., Cooper R.B. Queues with Service in Random Order // Operations Research. USA: Proquest ABI/INFORM. 1970.

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