Lyubomir Yanev (ETH Zurich), Pietro Ronchetti (ETH Zurich), Joshua Smailes (University of Oxford), Martin Strohmeier (armasuisse Science + Technology)

Resilient routing in large-scale Low Earth Orbit (LEO) satellite networks remains a key challenge due to frequent and unpredictable link and node failures, potentially in response to cybersecurity breaches. While prior work has explored rerouting strategies with various levels of network awareness, their relative tradeoffs under dynamic failure conditions remain underexplored.

In this work, we extend the Deep Space Network Simulator (DSNS) to systematically compare three rerouting paradigms, each differing in the scope of failure knowledge available to each node. We compare local neighbor-based, segment-based and global-knowledge-based rerouting as well as a naive source routing solution that is unaware of failures.

Our main goal is to evaluate how the breadth of failure awareness impacts routing performance and resilience under failures, both random and targeted. We measure delivery ratio, latency, rerouting overhead, and loop occurrence. Our findings show the potential of segment-based rerouting to achieve a favorable tradeoff between local responsiveness and global coordination, offering resilience benefits with minimal overhead—insights that can inform future fault-tolerant satellite network design.

View More Papers

VDORAM: Towards a Random Access Machine with Both Public...

Huayi Qi (School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China and Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China), Minghui Xu (School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China), Xiaohua Jia (Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China), Xiuzhen Cheng…

Read More

Abuse Resistant Traceability with Minimal Trust for Encrypted Messaging...

Zhongming Wang (Chongqing University), Tao Xiang (Chongqing University), Xiaoguo Li (Chongqing University), Guomin Yang (Singapore Management University), Biwen Chen (Chongqing University), Ze Jiang (Chongqing University), Jiacheng Wang (Nanyang Technological University), Chuan Ma (Chongqing University), Robert H. Deng (Singapore Management University)

Read More

In-Context Probing for Membership Inference in Fine-Tuned Language Models

Zhexi Lu (Rensselaer Polytechnic Institute), Hongliang Chi (Rensselaer Polytechnic Institute), Nathalie Baracaldo (IBM Research), Swanand Ravindra Kadhe (IBM Research), Yuseok Jeon (Korea University), Lei Yu (Rensselaer Polytechnic Institute)

Read More