Smart City Gnosys
Smart city article details
| Title | Sensor Data Fusion For The Industrial Artificial Intelligence Of Things |
|---|---|
| ID_Doc | 48408 |
| Authors | Djenouri Y.; Belhadi A.; Srivastava G.; Houssein E.H.; Lin J.C.-W. |
| Year | 2022 |
| Published | Expert Systems, 39, 5 |
| DOI | http://dx.doi.org/10.1111/exsy.12875 |
| Abstract | The emergence of smart sensors, artificial intelligence, and deep learning technologies yield artificial intelligence of things, also known as the AIoT. Sophisticated cooperation of these technologies is vital for the effective processing of industrial sensor data. This paper introduces a new framework for addressing the different challenges of the AIoT applications. The proposed framework is an intelligent combination of multi-agent systems, knowledge graphs and deep learning. Deep learning architectures are used to create models from different sensor-based data. Multi-agent systems can be used for simulating the collective behaviours of the smart sensors using IoT settings. The communication among different agents is realized by integrating knowledge graphs. Different optimizations based on constraint satisfaction as well as evolutionary computation are also investigated. Experimental analysis is undertaken to compare the methodology presented to state-of-the-art AIoT technologies. We show through experimentation that our designed framework achieves good performance compared to baseline solutions. © 2021 The Authors. Expert Systems published by John Wiley & Sons Ltd. |
| Author Keywords | AIoT; cognitive smart cities; deep learning; multi-agent system |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
14845  | 0.902 | Luzolo P.H.; Elrawashdeh Z.; Tchappi I.; Galland S.; Outay F. | Combining Multi-Agent Systems And Artificial Intelligence Of Things: Technical Challenges And Gains | Internet of Things (Netherlands), 28 (2024) |
| 22953 | 0.884 | Zhang J.; Tao D. | Empowering Things With Intelligence: A Survey Of The Progress, Challenges, And Opportunities In Artificial Intelligence Of Things | IEEE Internet of Things Journal, 8, 10 (2021) |
| 46928 | 0.862 | Subramanian S.; Lokeshwari G.; Jagadeesan S.; Leela S.; Pratheep V.G.; Venkatasudhahar M. | Robust Sensor Fusion Algorithms For Iot | Proceedings of the 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024 (2024) |
| 7122 | 0.853 | Rajasekaran A.S.; Al-Turjman F.; Suganyadevi S. | Aiot: Artificial Intelligence Of Things | AIoT: Artificial Intelligence of Things (2025) |
| 55937 | 0.853 | Dazzi P. | The Internet Of Ai Agents (Iaia): A New Frontier In Networked And Distributed Intelligence | International Journal of Networked and Distributed Computing, 13, 1 (2025) |
| 39913 | 0.852 | Annunziata D.; Chiaro D.; Qi P.; Piccialli F. | On The Road To Aiot: A Framework For Vehicle Road Cooperation | IEEE Internet of Things Journal, 12, 5 (2025) |