Energy-efficient image retrieval from wireless sensors
Published on:
22 April 2024
Primary Category:
Networking and Internet Architecture
Paper Authors:
Mathias Thorsager,
Victor Croisfelt,
Junya Shiraishi,
Petar Popovski
Bullets
Key Details
Uses tiny ML models on sensors for energy-efficient image retrieval
Behavior model filters irrelevant images before transmission
Image compressor reduces bandwidth via latent representations
Saves 70%+ energy vs uncompressed transmission
Maintains image quality with compression
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AI generated summary
Energy-efficient image retrieval from wireless sensors
This paper proposes EcoPull, an energy-efficient framework for image retrieval from wireless visual sensors. It uses two tiny machine learning models on the sensors: a behavior model to filter out irrelevant images, and an image compressor to reduce transmission bandwidth. Together these models save over 70% energy compared to uncompressed image transmission, while maintaining image quality.
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