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Related Experiment Video

Updated: May 10, 2025

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

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Published on: September 8, 2023

From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI.

Ilenia Ficili¹, Maurizio Giacobbe¹, Giuseppe Tricomi^1,2,3

¹Department of Engineering, University of Messina, 98166 Messina, Italy.

Sensors (Basel, Switzerland)

|April 28, 2025

Summary

Integrating Internet of Things (IoT), cloud, edge computing, and AI transforms data into actionable intelligence. This enables real-time decisions and predictive insights for smarter infrastructure.

Keywords:

AI IoT cloud computing edge computing federated learning sensors

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Area of Science:

Computer Science
Data Science
Engineering

Background:

Exponential growth of connected devices and sensor networks revolutionizes data collection.
The true value lies in transforming raw data into actionable intelligence.
Existing systems often struggle with real-time processing and actionable insights.

Purpose of the Study:

To explore innovative approaches for integrating IoT, cloud computing, edge computing, and AI.
To enable real-time decision-making and predictive analytics.
To achieve pervasive environmental intelligence for smarter infrastructure.

Main Methods:

Analysis of integration approaches among IoT, cloud/edge computing, and AI.
Examination of real-world examples and applications.
Identification of challenges and solutions for seamless integration.

Main Results:

Demonstration of how combining IoT, cloud, edge, and AI enables real-time decision-making.
Highlighting the role of these technologies in predictive analytics and low-latency processing.
Analysis of successful integration strategies and their impact.

Conclusions:

The integration of IoT, cloud, edge computing, and AI is crucial for transforming data into actionable intelligence.
This integration facilitates real-time decision-making and predictive insights.
The findings provide a roadmap for developing smarter, more sustainable infrastructure through pervasive environmental intelligence.