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Related Experiment Video

Updated: Jun 13, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

DAIS-MQTT: A Distributed MQTT Communication Method Based on Intelligent QoS Routing and Hierarchical Collaboration.

Mengjia Lian1, Wanda Yin2, Anying Chai2

  • 1School of Mathematics and Information Engineering, Longyan University, Longyan 364012, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces DAIS-MQTT, a distributed communication method for Industrial Internet of Things (IIoT) systems. It enhances scalability and adaptability by using intelligent Quality of Service (QoS) routing and hierarchical collaboration.

Keywords:
Industrial Internet of ThingsMQTTadaptive routingdata schedulingdistributed

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Last Updated: Jun 13, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

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Published on: July 15, 2022

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Computer Science
  • Network Engineering
  • Distributed Systems

Background:

  • Industrial Internet of Things (IIoT) systems face scalability and adaptability challenges due to massive connected devices and dynamic network conditions.
  • Traditional MQTT's centralized broker architecture limits scalability and fault tolerance, while static Quality of Service (QoS) configurations hinder adaptation to changing environments, leading to high latency and low throughput.

Purpose of the Study:

  • To propose a novel distributed MQTT communication method (DAIS-MQTT) for large-scale and dynamic IIoT environments.
  • To enhance the scalability, fault tolerance, and adaptability of MQTT communication in IIoT systems.

Main Methods:

  • Developed a hierarchical tree-based network routing algorithm (LCN) for multi-level proxy collaboration and fault self-recovery.
  • Proposed an intelligent decision tree-based QoS routing algorithm (IQR) for dynamic optimization of proxy selection and QoS levels.
  • Implemented a distributed MQTT communication method (DAIS-MQTT) integrating LCN and IQR.

Main Results:

  • DAIS-MQTT significantly reduces average message delay by 29.9% compared to traditional MQTT.
  • System throughput is increased by 28.2% with the proposed DAIS-MQTT method.
  • DAIS-MQTT maintains a reliable transmission rate of 98.7% even in unreliable network conditions.

Conclusions:

  • DAIS-MQTT effectively addresses the scalability limitations of centralized MQTT architectures in IIoT.
  • The intelligent QoS routing and hierarchical collaboration enhance adaptability to dynamic network changes, reducing latency and improving throughput.
  • DAIS-MQTT is a suitable communication solution for high-dynamic and large-scale IIoT applications.