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Task effectiveness, defined as the likelihood that a system will complete specific tasks under predefined conditions and within a given timeframe, is a crucial indicator of the system’s overall performance and fundamental quality attributes. This metric holds particular significance for the design and optimization of constellation networks. However, current research on multi-layer constellation networks has its shortcomings. Existing methodologies fail to accurately represent the stochastic processes of satellite constellations, neglect the differences in multitask requirements, focus solely on single tasks or static structures, and overlook the dynamic nature of satellite networks. To tackle these challenges, this paper introduces a quantitative framework for assessing the grey multitasking effectiveness of satellite communication constellations. The framework is developed through a systematic approach: firstly, the operational mechanisms of individual satellites and various user task types are analyzed, enabling the construction of Satellite Grey Graphical Evaluation and Review Technique signaling transmission diagrams. Secondly, the network structure is modeled using the Satellite Tool Kit, which aids in determining the completion times and variances for each functional module. Thirdly, the multitasking effectiveness of the constellation is quantified by combining the effectiveness and importance weights of each communication link task. Lastly, the proposed framework is validated through a case study involving a sample satellite communication constellation, and the evaluation results are analyzed to showcase the framework’s applicability and robustness.
Details
1 Jiangsu Open University, School of Information Technology, Nanjing, China (GRID:grid.443480.f) (ISNI:0000 0004 1800 0658)
2 China Academy of Space Technology (CAST), Institute of Telecommunication Satellite, Beijing, China (GRID:grid.464215.0) (ISNI:0000 0001 0243 138X)
3 University of Science and Technology of China, School of Cyber Science and Technology, Hefei, China (GRID:grid.59053.3a) (ISNI:0000 0001 2167 9639)