The Results of Computer Simulation of Data Acquisition Systems Based on Distributed Smart Geosensor Networks

Abstract

Modeling and simulation of data acquisition systems has always been and remains an important stage in the process of their design. One of the promising classes of data acquisition systems is data acquisition systems based on distributed smart geosensor networks. The aim of the study was to develop a method for assessing the scalability potential of a data acquisition system based on the statistical properties of the latency of its basic components. To simulate the latency of the entire system, authors developed a system model in the form of a coherent set of elements that affect the messages passing through them, mainly by introducing delays in their passage. To quantify the model parameters, the corresponding software tools were developed. The software toolkit was implemented in the Python 3 programming language using the NumPy and SimPy libraries. The approach proposed by the authors of the report allows reducing the a priori uncertainty of the effectiveness of using various algorithms for determining the values of spatial predicates in the developed system and to study processes in the data acquisition system for which there is no exact analytical mathematical description.