IoT technologies for embedded computing: a survey
Abstract
Emergence of Internet-of-Things brings a whole new class of applications and higher efficiency for existing services. Application-specific requirements, as well as connectivity and communication ability of devices have introduced new challenges for IoT applications.
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These methods enable TLMs to operate with a fraction of the parameters found in LLMs, making them more suitable for deployment on devices with limited resources, such as smartphones, embedded systems, and industrial IoT sensors.
“These methods enable TLMs to operate with a fraction of the parameters found in LLMs, making them more suitable for deployment on devices with limited resources, such as smartphones, embedded systems, and industrial IoT sensors [25].”
From Tiny Language Models for Automation and Control: Overview, Potential Applications, and Future Research Directions (2025) · cites this paper as [25]
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Lamaakal, I., Maleh, Y., El Makkaoui, K., Ouahbi, I., Pławiak, P., Alfarraj, O., Almousa, M., & Abd El-Latif, A. A. (2025) · Sensors · doi:10.3390/s25051318 · Cited by 60 · see citing works
- Authors
- Samie, F., Bauer, L., & Henkel, J.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- Venue
- Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
- Publisher
- ACM
- Published
- 2016-10
- Pages
- 1-10
- OpenAlex
- W2530711515
- Cited by
- 190
- References
- 49
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 11 · 2023: 14 · 2022: 18 · 2021: 34 · 2020: 31 · 2019: 28 · 2018: 26 · 2017: 14 · 2016: 2
- FWCI
- 19.93
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Hardware/Software Codesign and System Synthesis (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT Networks and Protocols
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Internet of Things, embedded computing, IoT applications, device connectivity, communication difficulties
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