Internet of things

The paper analyzes developments in the field of environmental parameter monitoring using microcontrollers and Internet of Things technologies, with results that justify the use of ESP8266 microcontroller. A monitoring system for microclimate parameters (temperature, humidity and atmospheric air pressure) in smart homes and industrial  premises based on ESP8266 microcontroller has been developed, which demonstrated its effectiveness through a combination of hardware and software tools.

Cold-chain logistics needs decisions that are fast in operation and defensible at audit. This article presents a compact, evidence-centric workflow for service-level agreements (SLAs). SLA clauses are encoded as smart- contract rules on a permissioned blockchain with Byzantine fault-tolerant consensus (Hyperledger Fabric).

The paper reveals the essence of business scaling tools, which are considered as a set of interrelated technological, organizational and digital solutions. These tools are aimed at ensuring flexibility, efficiency and effectiveness in the process of expanding the activities of enterprises, especially when entering international markets. This includes, in particular, the use of digital platforms, ERP systems, cloud technologies, intelligent management systems, as well as demand forecasting and supply chain optimization models.

The article presents a system of remote control and management of car functions, developed using innovative technologies of the Internet of Things (IoT) and wireless networks. During the development of the system, technologies such as sensors for monitoring the technical condition of the car, a website for remote access, and microcontrollers for data processing and remote control of the car's functions were used.

The rapid growth of the Internet of Things (IoT) has revolutionized the logistics industry by enabling real-time tracking and monitoring of goods throughout the supply chain. However, the immense volume of telemetric data generated by IoT devices presents significant challenges in terms of scalability, data integrity, and security for traditional database solutions. This paper explores the applicability of blockchain technology as an alternative for storing and managing IoT telemetric data in logistics.

The article investigates the potential of serverless architectures for efficiently processing large-scale metadata generated by Internet of Things (IoT) sensors. As IoT systems grow increasingly complex, the challenges associated with processing vast amounts of data in distributed environments become more pronounced. Key issues include ensuring data accuracy, maintaining scalability, and reducing the operational costs of data processing infrastructure.

The design of modern Cyber-Physical Systems (CPS) connects physical and digital realms from cloud systems to edge devices. Microservice architecture has been widely used for IT solutions and emerges as a promising approach for supporting CPS that are more efficient, adaptable, and interconnected. However, there is an increasing need to improve the availability, reliability, and resilience of microservice systems according to the needs. This paper summarizes the challenges and drawbacks of microservice architecture used for CPS.

A multi-level structure of safe intellectualization of society’s infrastructure “objects – cyber-physical systems” in the functional space “selection – exchange of information – processing – management” is proposed according to the profiles – confidentiality, integrity, availability for “smart environmental monitoring”, “smart education”, “smart energy”, “intelligent transport system” and other subject areas.

The application of intelligent sensors, network technologies, and machine learning in IoT and industry is increas- ingly widespread as a part of the development and implementation of Industry 4.0, Industry 5.0, and Smart City. It is necessary to review the fundamental principles of metrological support for production. This includes calibration, estimation of measurement uncertainty, traceability, and processing of large data sets to reproduce and compare the results of measurements of physical quan- tities remotely.