Collection
Lightweight Edge AI for Industrial IoT (Light eAI-IIoT)
The Industrial Internet of Things (IIoT) is transforming modern industries by enabling intelligent, data driven operations at the edge of networks. As these systems grow in scale and complexity, optimizing the energy consumption of Artificial Intelligence (AI) and Machine Learning (ML) techniques becomes essential for sustainable and reliable performance.
As AI and ML become increasingly integrated into IIoT systems, new deployment strategies are emerging to address the stringent constraints of industrial environments.
About This Collection
This journal special issue especially focuses on the potential and challenges of exploiting Lightweight AI at the edge of networks, including at the IIoT devices themselves.
We encourage submissions that explore novel algorithms, hardware architectures, and system designs that enable efficient, low-power sensing and analysis at the edge.
Topics of Interest
- Energy efficient wireless communications/sensing for IIoT
- Edge AI and ML-aided wireless communications and networking
- Tiny ML for wireless communications/sensing
- AI compression for wireless communications/sensing
- Edge AI network architectures for IIoT
- Low-power acoustic sensing networks
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Guest Editors
Megumi Kaneko
PhD, HDR
National Institute of Informatics & The University of Tokyo, Japan
Guest EditorJulien Weber
MEng
Wavely, France
Guest EditorWe welcome submissions from researchers worldwide working on energy efficient wireless communication/sensing for IIoT and edge AI applications.