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Article

GreenRP: Task-Aware Discharge-Resilient Routing for Sustainable Edge AI in Satellite Optical Networks

by
Huibin Zhang
1,*,
Dandan Du
1,
Kunpeng Zheng
1,
Yuan Cao
2,
Lihan Zhao
1,
Yongli Zhao
1 and
Jie Zhang
1
1
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
2
School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(15), 3075; https://doi.org/10.3390/electronics14153075
Submission received: 30 June 2025 / Revised: 27 July 2025 / Accepted: 28 July 2025 / Published: 31 July 2025
(This article belongs to the Special Issue Security and Privacy in Emerging Edge AI Systems and Applications)

Abstract

Research in on-orbit processing enables edge AI deployment over satellite optical networks. However, these operations induce frequent battery discharge cycles, particularly depth-of-discharge (DoD) events, which accelerate degradation and curtail satellite longevity. To address this, we propose green task-aware routing planning (GreenRP), a task-aware routing framework that achieves sustainable edge AI through dynamic task offloading and discharge-resilient path orchestration. GreenRP employs a novel battery aging model explicitly coupling DoD effects with laser inter-satellite link dynamics under AI workloads, enhancing system sustainability. Comprehensive evaluation on a 1152-satellite constellation demonstrates that GreenRP extends network lifetime by 176% over shortest-path routing while meeting latency and completion rate targets. This work enables reliable edge AI via sustainable satellite resource utilization.
Keywords: satellite optical networks; laser inter-satellite link; edge AI; energy-efficient routing satellite optical networks; laser inter-satellite link; edge AI; energy-efficient routing

Share and Cite

MDPI and ACS Style

Zhang, H.; Du, D.; Zheng, K.; Cao, Y.; Zhao, L.; Zhao, Y.; Zhang, J. GreenRP: Task-Aware Discharge-Resilient Routing for Sustainable Edge AI in Satellite Optical Networks. Electronics 2025, 14, 3075. https://doi.org/10.3390/electronics14153075

AMA Style

Zhang H, Du D, Zheng K, Cao Y, Zhao L, Zhao Y, Zhang J. GreenRP: Task-Aware Discharge-Resilient Routing for Sustainable Edge AI in Satellite Optical Networks. Electronics. 2025; 14(15):3075. https://doi.org/10.3390/electronics14153075

Chicago/Turabian Style

Zhang, Huibin, Dandan Du, Kunpeng Zheng, Yuan Cao, Lihan Zhao, Yongli Zhao, and Jie Zhang. 2025. "GreenRP: Task-Aware Discharge-Resilient Routing for Sustainable Edge AI in Satellite Optical Networks" Electronics 14, no. 15: 3075. https://doi.org/10.3390/electronics14153075

APA Style

Zhang, H., Du, D., Zheng, K., Cao, Y., Zhao, L., Zhao, Y., & Zhang, J. (2025). GreenRP: Task-Aware Discharge-Resilient Routing for Sustainable Edge AI in Satellite Optical Networks. Electronics, 14(15), 3075. https://doi.org/10.3390/electronics14153075

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