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Satellite constellation design for space optical systems is essentially a multiple-objective optimization problem. In this work, to tackle this challenge, we first categorize the performance metrics of the space optical system by taking into account the system tasks (i.e., target detection and tracking). We then propose a new non-dominated sorting genetic algorithm (NSGA) to maximize the system surveillance performance. Pareto optimal sets are employed to deal with the conflicts due to the presence of multiple cost functions. Simulation results verify the validity and the improved performance of the proposed technique over benchmark methods. [ABSTRACT FROM AUTHOR]

Clustering-based sensor-management schemes have been widely used for various wireless sensor networks (WSNs), as they are well suited to the distributive and collaborative nature of WSN. In this paper, a C60-based clustering algorithm is proposed for the specific planned network of space tracking and surveillance system (STSS), where all the sensors are partitioned into 12 clusters according to the C60 (or football surface) architecture, and then a hierarchical sensor-management scheme is well designed. Finally, the algorithm is applied to a typical STSS constellation, and the simulation results show that the proposed method has better target-tracking performance than the nonclustering scheduling method. [ABSTRACT FROM AUTHOR]