Smart City Gnosys
Smart city article details
| Title | Energy-Aware Anomaly Detection In Industrial Multi-Modal Iot Applications |
|---|---|
| ID_Doc | 23411 |
| Authors | Li X.; Zhou Z.; Tang J.; Shu L. |
| Year | 2019 |
| Published | Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 |
| DOI | http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00180 |
| Abstract | This paper proposes a novel technique to facilitate an energy-aware anomaly detection in the context of edge-cloud collaborative architecture, where anomaly-oriented attributes provided by multi-modal smart things are recognized as primary and secondary ones with respect to the characteristic of certain anomaly. Experimental results demonstrate the promising performance and efficiency of our proposed technique in reducing network traffic and energy consumption in comparison with the state of art's techniques. © 2019 IEEE. |
| Author Keywords | Edge cloud collaborative architecture; Energy aware anomaly detection; Multi modal iot devices |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
17977  | 0.87 | Shahnejat Bushehri A.; Amirnia A.; Belkhiri A.; Keivanpour S.; De Magalhaes F.G.; Nicolescu G. | Deep Learning-Driven Anomaly Detection For Green Iot Edge Networks | IEEE Transactions on Green Communications and Networking, 8, 1 (2024) |
| 9642 | 0.858 | Zoppi T.; Merlino G.; Ceccarelli A.; Puliafito A.; Bondavalli A. | Anomaly Detectors For Self-Aware Edge And Iot Devices | IEEE International Conference on Software Quality, Reliability and Security, QRS (2023) |
| 23520 | 0.855 | Tan L.; Singh A.; Zhang W.; Pei H.; Zhang P.; Chahal P.K.; Singh M. | Energy-Efficient Tactile-Driven Rule Configuration And Anomaly Detection In Industrial Iot Systems | IEEE Internet of Things Journal (2025) |
| 33619 | 0.854 | Chatterjee A.; Ahmed B.S. | Iot Anomaly Detection Methods And Applications: A Survey | Internet of Things (Netherlands), 19 (2022) |
| 5218 | 0.851 | Haider Z.A.; Zeb A.; Rahman T.; Singh S.K.; Akram R.; Arishi A.; Ullah I. | A Survey On Anomaly Detection In Iot: Techniques, Challenges, And Opportunities With The Integration Of 6G | Computer Networks, 270 (2025) |