Artificial Intelligence-based Internet of Things for Industry 5.0
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In FL-blockchain for Industry 5.0, initial parameters are passed through blockchain blocks for secure transmission.
“The initial parameters then passed through the blocks of the blockchain technology for secure transmission [246, 247].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [247]
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Rahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing · doi:10.1007/s10586-022-03658-4 · Cited by 399 · see citing works
- Authors
- Chander, B., Pal, S., De, D., & Buyya, R.
- Affiliations
- Pondicherry University (IN)
- The University of Melbourne (AU)
- Venue
- Internet of Things
- Publisher
- Springer International Publishing
- Published
- 2022
- Pages
- 3-45
- ISSN
- 2199-1073 (ISSN-L)
- 2199-1081
- OpenAlex
- W4205865617
- Cited by
- 160
- References
- 45
- Citations by year
- 2026: 14 · 2025: 55 · 2024: 56 · 2023: 26 · 2022: 9
- FWCI
- 94.75
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Internet of things (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- Industry 5.0, artificial intelligence, edge computing, IoT architecture, Internet of Things security, trust model, sensor data preprocessing, wireless communication, smart devices, manufacturing automation
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