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Data Communication Based on MQTT in a Polymer Extrusion Process

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Discrete Event System Specification for IoT Applications.

Iman Alavi Fazel¹, Gabriel Wainer¹

¹Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada.

Sensors (Basel, Switzerland)

|December 17, 2024

Summary

This summary is machine-generated.

This study presents a new Internet of Things (IoT) architecture using discrete event system specification (DEVS) to improve system development and fault tolerance. The model-driven approach enhances robustness for complex IoT applications.

Keywords:

DEVS IoT M&S sensor fusion

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Area of Science:

Computer Science
Engineering
Systems Theory

Background:

The Internet of Things (IoT) offers broad applications but faces development hurdles like interoperability and complexity.
Streamlining IoT development and maintenance remains a significant challenge for widespread adoption.
Existing architectures often lack robustness against sensor unreliability and system integration issues.

Purpose of the Study:

To introduce a robust, model-driven architecture for Internet of Things (IoT) systems.
To address challenges in IoT development, including interoperability, complexity, and maintenance.
To enhance fault tolerance in IoT systems against unreliable sensor data.

Main Methods:

Development of a novel IoT architecture based on Discrete Event System Specification (DEVS).
Integration of the publish/subscribe paradigm for system communication.
Incorporation of the Brooks-Iyengar algorithm to improve fault tolerance.

Main Results:

The proposed DEVS-based architecture effectively manages system complexity and enhances interoperability.
The integration of the Brooks-Iyengar algorithm significantly improves fault tolerance against sensor errors.
Validation through a comprehensive home automation case study demonstrated practical applicability.

Conclusions:

The DEVS-based model-driven approach offers a robust solution for IoT system development.
The architecture enhances reliability and fault tolerance, crucial for real-world IoT deployments.
This framework provides a scalable and maintainable solution for diverse IoT applications.