From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI
The exponential growth of connected devices and sensor networks has revolutionized data collection and monitoring across industries, from healthcare to smart cities. However, the true value of these systems lies not merely in gathering data but in transforming it into actionable intelligence. The in...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/6/1763 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849339797118648320 |
|---|---|
| author | Ilenia Ficili Maurizio Giacobbe Giuseppe Tricomi Antonio Puliafito |
| author_facet | Ilenia Ficili Maurizio Giacobbe Giuseppe Tricomi Antonio Puliafito |
| author_sort | Ilenia Ficili |
| collection | DOAJ |
| description | The exponential growth of connected devices and sensor networks has revolutionized data collection and monitoring across industries, from healthcare to smart cities. However, the true value of these systems lies not merely in gathering data but in transforming it into actionable intelligence. The integration of IoT, cloud computing, edge computing, and AI offers a robust pathway to achieve this transformation, enabling real-time decision-making and predictive insights. This paper explores innovative approaches to combine these technologies, emphasizing their role in enabling real-time decision-making, predictive analytics, and low-latency data processing. This work analyzes several integration approaches among IoT, cloud/edge computing, and AI through examples and applications, highlighting challenges and approaches to seamlessly integrate these techniques to achieve pervasive environmental intelligence. The findings contribute to advancing pervasive environmental intelligence, offering a roadmap for building smarter, more sustainable infrastructure. |
| format | Article |
| id | doaj-art-aee22a9d817c45f88ba6ef12638dec26 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-aee22a9d817c45f88ba6ef12638dec262025-08-20T03:44:03ZengMDPI AGSensors1424-82202025-03-01256176310.3390/s25061763From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AIIlenia Ficili0Maurizio Giacobbe1Giuseppe Tricomi2Antonio Puliafito3Department of Engineering, University of Messina, 98166 Messina, ItalyDepartment of Engineering, University of Messina, 98166 Messina, ItalyDepartment of Engineering, University of Messina, 98166 Messina, ItalyDepartment of Engineering, University of Messina, 98166 Messina, ItalyThe exponential growth of connected devices and sensor networks has revolutionized data collection and monitoring across industries, from healthcare to smart cities. However, the true value of these systems lies not merely in gathering data but in transforming it into actionable intelligence. The integration of IoT, cloud computing, edge computing, and AI offers a robust pathway to achieve this transformation, enabling real-time decision-making and predictive insights. This paper explores innovative approaches to combine these technologies, emphasizing their role in enabling real-time decision-making, predictive analytics, and low-latency data processing. This work analyzes several integration approaches among IoT, cloud/edge computing, and AI through examples and applications, highlighting challenges and approaches to seamlessly integrate these techniques to achieve pervasive environmental intelligence. The findings contribute to advancing pervasive environmental intelligence, offering a roadmap for building smarter, more sustainable infrastructure.https://www.mdpi.com/1424-8220/25/6/1763edge computingcloud computingsensorsIoTAIfederated learning |
| spellingShingle | Ilenia Ficili Maurizio Giacobbe Giuseppe Tricomi Antonio Puliafito From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI Sensors edge computing cloud computing sensors IoT AI federated learning |
| title | From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI |
| title_full | From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI |
| title_fullStr | From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI |
| title_full_unstemmed | From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI |
| title_short | From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI |
| title_sort | from sensors to data intelligence leveraging iot cloud and edge computing with ai |
| topic | edge computing cloud computing sensors IoT AI federated learning |
| url | https://www.mdpi.com/1424-8220/25/6/1763 |
| work_keys_str_mv | AT ileniaficili fromsensorstodataintelligenceleveragingiotcloudandedgecomputingwithai AT mauriziogiacobbe fromsensorstodataintelligenceleveragingiotcloudandedgecomputingwithai AT giuseppetricomi fromsensorstodataintelligenceleveragingiotcloudandedgecomputingwithai AT antoniopuliafito fromsensorstodataintelligenceleveragingiotcloudandedgecomputingwithai |