Prethodno priopćenje

https://doi.org/10.31803/tg-20251017170752

Automated System for Data Transmission Characteristics Management in the Industrial Internet of Things Networks

Muhanad Jabar Yaser ; The Head of the Department Cybersecurity Technologies, Technical Institute Shatra, Southern Technical University, Basra, 61001, Iraq *
Konstantin A. Polshchykov ; Department of Information and Robotic Systems, Belgorod State University, Belgorod, 308015, Russia
Mikhail S. Balakshin ; Department of Information and Robotic Systems, Belgorod State University, Belgorod, 308015, Russia

* Dopisni autor.

Sažetak

The purpose of the proposed study is to provide the required data transmission characteristics in the Industrial Internet of Things (IIoT) system. Our efforts are primarily aimed at increasing the probability of message delivery, as well as reducing the likelihood of their duplication in wireless networks based on the Message Queuing Telemetry Transport (MQTT) protocol. The article offers a scheme and description of the automated control system, which is based on the use of original models to assess the probability of delivery and the likelihood of duplicate messages. The control parameters are the quality of service (QoS) level and the number of allowed retransmissions (Nretry). Conducting computational experiments and deploying the system in a real environment have shown that its application makes it possible to improve the requirements for the probability of message delivery by 7.2 percent and the probability of their duplication by 8.6 percent compared to existing adaptive QoS approaches. Due to the results achieved, the proposed system is recommended for use in IIoT networks, which place increased demands on the reliability of data delivery.

Ključne riječi

Automated Control System; Industrial Internet of Thing (IIoT); MQTT Protocol; Network Optimization; Probabilistic Modelling; Quality of Service (QoS); Telemetry Message Delivery; Retransmissions

Hrčak ID:

348873

URI

https://hrcak.srce.hr/348873

Datum izdavanja:

15.9.2026.

Posjeta: 0 *