MODEL INFORMATION MANAGEMENT NETWORK WITH AN ALGORITHMOF RANDOM MULTIPLE ACCESS PREDICTIVE P-PERSISTENT CSMA

A model of an information control network with a random multiple access algorithm with carrier control and network prediction of a predictive p-persistent CSMA network and a method for estimating the probability and time characteristics of information transmission are being developed. The object of the research is the process of information exchange in fieldbus-networks LonWorks, BacNet with the analyzed algorithm. The aim of the work is to improve the accuracy quantitative estimates of the characteristics of time and reliability of the delivery of information messages. An analytical review of scientific publications devoted to the analysis of the characteristics of networks with random access algorithms was performed, which allowed us to identify the solution methods used, as well as the degree of problem elaboration. The use of the obtained information allowed to highlight the problem of accounting in the models of a number of significant parameters of functioning, and also to choose an effective mathematical apparatus for its solution. As a result of the work, a network model was created with the predictive p-persistent CSMA algorithm and a method for evaluating information transfer characteristics. Advantages over analogues consist in the correct accounting of sporadic and heterogeneous in delivery services network load of nodes.

Authors: S. A. Dadenkov, E. L. Kon

Direction: Informatics, Computer Technologies And Control

Keywords: Network model, random multiple access, probabilistic and temporal characteristics, information transfer, industrial network, sensor network, LonWorks, fieldbus, predictive p-persistent CSMA

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