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Monitoring and Control Framework for IoT, Implemented for Smart Agriculture.

Elisha Elikem Kofi Senoo¹, Ebenezer Akansah¹, Israel Mendonça²

¹Graduate School of Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan.

Sensors (Basel, Switzerland)

|March 11, 2023

Summary

This study introduces a domain-agnostic Monitoring and Control Framework (MCF) to address IoT standardization issues. The MCF offers a scalable, reusable, and interoperable solution for designing Internet of Things (IoT) systems, proving cost-effective and energy-efficient in real-world applications.

Keywords:

Internet of Things (IoT)IoT architecture actuators control domain-agnostic framework monitoring open-source sensors smart agriculture

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Area of Science:

Computer Science
Electrical Engineering
Internet of Things (IoT)

Background:

Lack of standardization in Internet of Things (IoT) systems hinders scalability, reusability, and interoperability.
Existing IoT frameworks often impose domain restrictions, limiting their applicability.
Addressing these challenges is crucial for widespread IoT adoption and development.

Purpose of the Study:

To propose a domain-agnostic Monitoring and Control Framework (MCF) for IoT systems.
To develop building blocks for a five-layer IoT architecture and MCF subsystems.
To demonstrate the MCF's effectiveness, cost-efficiency, and reliability in a smart agriculture use-case.

Main Methods:

Developed a domain-agnostic Monitoring and Control Framework (MCF) with modular subsystems.
Created building blocks for a five-layer IoT architecture.
Implemented and evaluated the MCF in a smart agriculture use-case using off-the-shelf components and open-source code.

Main Results:

The MCF demonstrated scalability, reusability, and interoperability in a real-world smart agriculture application.
Cost analysis revealed the MCF to be up to 20 times less expensive than commercial solutions.
The framework exhibited low power consumption, stable data reliability, and efficient data exchange with minimal packet loss.

Conclusions:

The proposed MCF effectively eliminates domain restrictions, serving as a significant step towards IoT standardization.
The framework is stable, cost-effective, energy-efficient, and provides reliable data for IoT applications.
MCF enables the creation of open-source IoT solutions with hardware flexibility and reduced implementation costs.