Cloud, fog, dew, soft computing in fuzzy sensor systems

Authors

  • Victor A. Goryachev University “Dubna”
  • Alexei N. Averkin Federal Research Center “Informatics and Management” of the Russian Academy of Sciences

Keywords:

сloud computing, fog computing, dew computing, soft sensors, fuzzy sensors, fuzzy measure, fuzzy logic

Abstract

The research activity of the authors consists in the intellectualization of monitoring systems based on wireless sensors using the theory of fuzzy logic. Specifically, this article provides an example of programming a soft fuzzy sensor based on a fuzzy measure (see Section 1). In addition, this work considers distributed computing models in the general case and in the context of monitoring systems based on wireless sensor networks (see Sections 2-4). Based on the results of studying the three most promising models of distributed computing (cloud computing, fog computing, dew computing), their advantages and disadvantages related to low-power monitoring systems are described, and the principles of an optimal distributed computing model are formulated to ensure the effective operation of fuzzy sensor monitoring systems.

About authors

Victor A. Goryachev

University “Dubna”

Graduate student

Alexei N. Averkin

Federal Research Center “Informatics and Management” of the Russian Academy of Sciences

Plekhanov Russian University of Economics

Candidate of physical and mathematical sciences, associate professor

 

 

Published

30.06.2021

How to Cite

Goryachev, V. A., & Averkin, A. N. (2021). Cloud, fog, dew, soft computing in fuzzy sensor systems. Information Society, (3), 68-75. Retrieved from http://infosoc.iis.ru/article/view/581

Issue

Section

Information society technologies