To address the issue of sudden traffic surges caused by intensive observation tasks in key regions for low Earth orbit (LEO) remote sensing constellations, this paper proposes a Load-Aware Dynamic Laser-linking Strategy (LADLS). Firstly, a remote sensing task model is established to quantify data volumes generated by long-term, periodic, and emergent missions. Combined with sub-satellite point trajectories and hotspot region locations, high-load areas are identified. A satellite load increment calculation method is introduced, dividing orbital periods into time slices to precisely characterize constellation load states. To alleviate link congestion in high-load regions, a task-oriented link planning strategy is designed, proposing load-driven inter-satellite laser link establishment principles. The minimum-cost maximum-flow model is employed to optimize link configuration, enhancing bandwidth utilization efficiency and regional load balancing. This method balances topological dynamics with control costs, significantly improving data return capabilities in high-density observation scenarios for critical areas. Simulation results demonstrate that the proposed approach effectively mitigates network congestion, reduces transmission latency and packet loss risks, showing promising engineering application value.
FENG Zhiqiang
,
HU Haiying
,
LIU Gaosai
,
TIAN Feng
,
YANG Zijian
. Load-Aware Dynamic Laser Link Establishment Optimization Method for Low Earth Orbit Remote Sensing Data Transmission[J]. Journal of University of Chinese Academy of Sciences, 0
: 251229
.
DOI: 10.7523/j.ucas.2025.058
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