TinyAirNet: TinyML Model Transmission for Energy-Efficient Image Retrieval From IoT Devices

This letter introduces an energy-efficient pull-based data collection framework for Internet of Things (IoT) devices that use Tiny Machine Learning (TinyML) to interpret data queries. A TinyML model is transmitted from the edge server to the IoT devices. The devices employ the model to facilitate th...

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Veröffentlicht in:	IEEE communications letters 2024-09, Vol.28 (9), p.2101-2105
Hauptverfasser:	Shiraishi, Junya, Thorsager, Mathias, Pandey, Shashi Raj, Popovski, Petar
Format:	Artikel
Sprache:	eng
Schlagworte:	6G IoT networks Accuracy Costs Data models energy efficiency Feature extraction Internet of Things semantic query Semantics Tiny machine learning TinyML model wireless image retrieval
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