Alexander Kedrowitsch (Virginia Tech), Jonathan Black (Virginia Tech) Daphne Yao (Virginia Tech)

Inter-satellite links will unlock true global access to high-speed internet delivered by Low Earth Orbit (LEO) mega-constellations. Functional packet routing within the constraints of the space environment, spacecraft design, and continual satellite mobility is uniquely challenging and requires novel routing algorithm approaches. Additionally, recent real-world events have highlighted adversarial attempts to deny and disrupt mega-constellation networking capabilities. In this paper, we advance highly resilient LEO mega-constellation dynamic routing algorithms by presenting our novel, ISL architecture-derived, network coordinate system. This coordinate system simplifies the network topology and permits increasingly impactful routing decisions with minimal computational overhead. From our topology, we demonstrate a proof-of-concept, lightweight routing algorithm that is highly resilient and scalable. To promote standardized resilience comparisons for LEO mega-constellation routing algorithms, we also propose a routing resilience testing framework that defines key performance metrics, adversarial capabilities, and testing scenarios. Using our proposed framework, we demonstrate our routing algorithm’s increased resilience over several state-of-the-art dynamic routing algorithms, with 12% packet delivery rate improvement during high adversarial disruption intensities.

View More Papers

Powers of Tau in Asynchrony

Sourav Das (University of Illinois at Urbana-Champaign), Zhuolun Xiang (Aptos), Ling Ren (University of Illinois at Urbana-Champaign)

Read More

GhostType: The Limits of Using Contactless Electromagnetic Interference to...

Qinhong Jiang (Zhejiang University), Yanze Ren (Zhejiang University), Yan Long (University of Michigan), Chen Yan (Zhejiang University), Yumai Sun (University of Michigan), Xiaoyu Ji (Zhejiang University), Kevin Fu (Northeastern University), Wenyuan Xu (Zhejiang University)

Read More

Secure Multiparty Computation of Threshold Signatures Made More Efficient

Harry W. H. Wong (The Chinese University of Hong Kong), Jack P. K. Ma (The Chinese University of Hong Kong), Sherman S. M. Chow (The Chinese University of Hong Kong)

Read More

MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models

Qi Pang (Carnegie Mellon University), Yuanyuan Yuan (HKUST), Shuai Wang (HKUST)

Read More