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Related Experiment Video

Updated: Aug 19, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

Adaptive Quality of Service Control for MQTT-SN.

Fabio Palmese¹, Alessandro E C Redondi¹, Matteo Cesana¹

¹Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy.

Sensors (Basel, Switzerland)

|November 26, 2022

Summary

This study introduces a dynamic Quality of Service (QoS) controller for the MQTT-SN protocol in wireless sensor networks. It improves communication by managing packet delivery and latency based on network conditions.

Keywords:

MQTT MQTT-SN Pub/Sub QoS control

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Last Updated: Aug 19, 2025

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Internet of Things (IoT) and wireless sensor network (WSN) applications are rapidly expanding.
MQTT-SN is a popular publish/subscribe protocol for IoT, requiring performance optimization.
Existing WSNs often lack dynamic mechanisms to adapt to varying network conditions.

Purpose of the Study:

To propose and evaluate a dynamic Quality of Service (QoS) controller for the MQTT-SN protocol.
To enhance the performance of WSNs by dynamically adjusting QoS parameters.
To improve end-to-end delay and packet error rates in IoT communications.

Main Methods:

Design and implementation of a dynamic QoS controller for MQTT-SN.
Network simulation using the ns-3 network emulator.
Extensive experimental evaluation comparing controlled and non-controlled scenarios.

Main Results:

The dynamic QoS controller effectively manages packet success rates and average latency.
Demonstrated improvement in communication quality for end nodes compared to non-controlled systems.
QoS adjustments were responsive to network status indicators like end-to-end delay and packet error rate.

Conclusions:

Dynamic QoS control is a viable strategy for optimizing MQTT-SN performance in WSNs.
The proposed controller enhances reliability and reduces latency in IoT networks.
This approach offers a scalable solution for improving IoT communication quality.