Presentation Details
An Energy-Aware Onboard Edge Intelligence Framework for Small Satellite Earth Observation
ID：40
View Protection：ATTENDEE
Updated Time：2026-10-04 23:23:11 Hits：82
Online
Start Time：2026-10-13 11:45（Asia/Ho_Chi_Minh）
Duration：15min
Session：S2 Track 2: IoT and applications »
Abstract
Small satellites and Earth observation missions are producing more image data as the time goes on, without their onboard power, storage and computing capability as well as satellite-to-ground communication keeping up. Because of this, it is often not worthwhile for missions to send all collected data down to the ground station where it must be processed anyway. In this paper, we propose an energy-aware onboard edge intelligence framework to conduct image analysis in a lightweight fashion directly on the satellite as well as prioritize observations before transmitting. High-value observations are first transmitted at a higher quality whereas the lower-priority data may be either compressed or stored and transmitted later. When selecting the tasks, the framework takes into account not only the image significance but also the onboard processing, communication energy, and the link availability. Simulation results show that our approach can decrease the data amount from 5.80 to 2.85 GB as well as the consumption of energy from 21.4 Wh to 14.2 Wh with the classification accuracy staying at a remarkable 93.1% level. Thus it is seen that the integration of on-the-fly processing on the board and priority-based scheduling can significantly enhance the efficiency of small-satellite Earth observation systems in a practical manner.
Keywords
Space Technologies,Satelite Systems,Predictive Machine Learning
Speaker
Phani Monogya Katikireddi
Senior AI/ML Enginee Citizens bankSubmission Author
All Comments
Important Date
-
Conference Date
Oct 11
2026
toOct 14
2026
-
Dec 30 2025
Contribution Submission Deadline
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Sep 28 2026
Early Bird Registration
-
Oct 14 2026
Draft paper submission deadline
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Oct 15 2026
Registration deadline
Sponsored By
United Societies of Science
Organized By
Posts and Telecommunications Institute of Technology
Supported By
IEEE Section
IEEE Vietnam Section
IEEE Vietnam Section
Contact Information
- ASIANComNet 2026
- as******@usssociety.org
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