TY - JOUR
T1 - On-Demand and Scalable Topology Control Service for LEO Satellite Network Evolving
AU - Chen, Long
AU - Chou, Yi Ching
AU - Zhao, Haoyuan
AU - Wang, Hengzhi
AU - Wang, Feng
AU - Fang, Hao
AU - Ma, Sami
AU - Tang, Feilong
AU - Kong, Linghe
AU - Liu, Jiangchuan
N1 - Publisher Copyright:
© 2008-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - Inter-Satellite Links (ISLs) are pivotal for delivering global connectivity services and optimizing resource utilization in 6G and beyond. However, delivering effective topology control services through ISL provisioning faces critical challenges in sustainability and reliability. Reducing ISLs can conserve energy and extend satellite battery life for Low-Earth-Orbit (LEO) satellites where replacing batteries is impractical. Conversely, increasing ISLs can enhance service reliability but may lead to uneven traffic distribution, overloading nodes, and accelerating battery degradation, ultimately degrading the quality of 6G services. To tackle this dilemma, we propose TASRI—a service-oriented framework for Traffic-Aware, Sustainable, and Reliable ISL provisioning. TASRI provides a dynamic topology control service by partitioning network topologies into logical zones, enabling flexible ISL activation and deactivation to adapt to varying service demands, ensuring efficient resource utilization and dynamic service orchestration. Using a sustainability-oriented weight model, we formulate the topology control service optimization problem and introduce a scalable on-demand topology evolving algorithm with a bounded approximation ratio. Extensive real-world deployment-based simulation results show that, compared to the state-of-the-art, our TASRI can substantially reduce battery life consumption, while achieving comparable reliability and excellent scalability with considerably fewer ISLs or ISL handovers.
AB - Inter-Satellite Links (ISLs) are pivotal for delivering global connectivity services and optimizing resource utilization in 6G and beyond. However, delivering effective topology control services through ISL provisioning faces critical challenges in sustainability and reliability. Reducing ISLs can conserve energy and extend satellite battery life for Low-Earth-Orbit (LEO) satellites where replacing batteries is impractical. Conversely, increasing ISLs can enhance service reliability but may lead to uneven traffic distribution, overloading nodes, and accelerating battery degradation, ultimately degrading the quality of 6G services. To tackle this dilemma, we propose TASRI—a service-oriented framework for Traffic-Aware, Sustainable, and Reliable ISL provisioning. TASRI provides a dynamic topology control service by partitioning network topologies into logical zones, enabling flexible ISL activation and deactivation to adapt to varying service demands, ensuring efficient resource utilization and dynamic service orchestration. Using a sustainability-oriented weight model, we formulate the topology control service optimization problem and introduce a scalable on-demand topology evolving algorithm with a bounded approximation ratio. Extensive real-world deployment-based simulation results show that, compared to the state-of-the-art, our TASRI can substantially reduce battery life consumption, while achieving comparable reliability and excellent scalability with considerably fewer ISLs or ISL handovers.
KW - LEO satellite networks
KW - Topology control service
KW - on-demand ISL provisioning
UR - https://www.scopus.com/pages/publications/105007296735
U2 - 10.1109/TSC.2025.3576690
DO - 10.1109/TSC.2025.3576690
M3 - 文章
AN - SCOPUS:105007296735
SN - 1939-1374
VL - 18
SP - 2238
EP - 2253
JO - IEEE Transactions on Services Computing
JF - IEEE Transactions on Services Computing
IS - 4
ER -