The Use of a Queuing System to Study the Characteristics of the Communication Channel in IoT Networks

Abstract

The article contains detailed information on the application of the theory of queuing systems (QMS) in the Internet of Things (IoT) networks. The article discusses in detail the mathematical models used to analyze and optimize the provision of services in various systems, including IoT. Various aspects of the use of queue theory in IoT networks are highlighted, such as traffic modeling, data transfer optimization, and the use of stochastic models for more accurate analysis. The study of the characteristics of the communication channel in IoT networks is a key and urgent problem in the context of the rapid development of IoT technologies. With the growing number of connected devices, it becomes critically important to ensure the efficiency and reliability of the communication channel, as well as optimize the use of IoT device resources. This study is aimed at studying and theoretical analysis of the characteristics of the communication channel in IoT using queuing systems. The paper analyzes the features of the communication channel in IoT, examines channel modeling methods, analyzes data transmission delays, evaluates and increases throughput, applies queuing system methods and explores the applications of the results obtained, predicts the development of IoT and makes a final review of scientific work. The Internet of Things (IoT) is a network of interacting devices that use sensors and unique identifiers to exchange information. The widespread use of IoT in smart homes, energy, medicine, logistics and other sectors is accelerating thanks to modern artificial intelligence and machine learning technologies.