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\title{Link Topology and Multi-Objective Mission Flow Optimization for Remote
Sensing Satellites with Inter-Layer Links and Satellite-Ground Links}



\author[1]{Xiaoqing Zhong}%
\author[1]{Ningxuan Guo}%
\author[1]{Yuqi Wang}%
\author[1]{Anshou Li}%
\author[1]{Liang Liu }%
\author[1]{Yupeng Gong}%
\author[1]{Ningyuan Wang}%
\affil[1]{Affiliation not available}%


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  \date{May 07, 2026}


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\begin{abstract}
In the future Space Information Network (SIN), remote sensing satellites
(RSSs) can access communication constellations (CC) and ground stations
(GSs) through inter-layer links (ILLs) and satellite-ground links (SGLs)
to realize the timely transmission of large amounts of observation data.
In this paper, we study the link topology of both ILLs and SGLs with
different time slot durations from the perspective of each RSS based on
the time-expanded graph. We propose a multi-objective mission flow
optimization model to jointly achieve transmission benefits
maximization, end-of-period energy maximization, and transmission wait
time minimization. This model considers missions' importance differences
under limited storage, energy, and link bandwidth resources. To reduce
the solving complexity, we propose a Phased Multi-Objective (PMO)
algorithm composed of two Integer Linear Programming (ILP) problems and
one Linear Programming (LP) problem to separate the integer programming
part from the continuous part. A Multi-Objective Mixed Integer Linear
Programming (MO-MILP) model is also formulated for comparison. We
simulate the proposed methods in different scale SIN with practical
parameters referred to the SAR satellites. The results indicate that
observation data can be transmitted in near real-time with adequate
bandwidth of ILLs. PMO can achieve multiple objectives and is applicable
in large-scale constellation systems.%
\end{abstract}%



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