Predictive-Reactive Scheduling for Space Missions in Small Satellite Clusters

Wu, Jin; Liu, Lixiang; Hu, Xiaohui

doi:10.1109/is3c.2016.125

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…In addition to the normalization of features, (No. [3][4][5][6][7][8][9][10][11][12][13][14][15][16]) is considered to improve the applicability and scale generalization of the evolution rules. The features are described as Table 2:…”

Section: Feature Definition and Normalizationmentioning

confidence: 99%

“…Van [4,5] adopted a market-based behavior mechanism when considering multi-satellite collaboration, enabling the satellite with the highest bid to perform corresponding tasks. Wu [6] considered the dynamic topology of inter-satellite communication and proposed a method to predict communication links to carry out multi-satellite collaboration. Li [7] studied the problem of multi-satellite autonomous mission planning and proposed a multi-autonomous satellite collaborative mission planning framework.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method

Yang

Xing

et al. 2022

Mathematics

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The past decade has seen an increase in the number of satellites in orbit and in highly dynamic satellite requests, making the control by ground stations inefficient. The traditional management composed of ground planning with separate onboard execution is seriously lagging in response to dynamically incoming tasks. To meet the demand for the real-time response to emergent events, a multi-autonomous-satellite system with a central-distributed collaborative architecture was formulated by an integer programming model. Based on the structure, evolutionary rules were proposed to solve this problem by the use of sequence solution construction and a constructed heuristic method based on gene expression programming evolution. First, the features of the problem are extracted based on domain knowledge, then, the problem-solving rules are evolved by gene expression programming. The simulation results reflect that the evolutionary rule completely surpasses the three types of heuristic rules with adaptive mechanisms and achieves a solution effect close to meta-heuristic algorithms with a reasonably fast solving speed.

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Section: Feature Definition and Normalizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method

Yang

Xing

et al. 2022

Mathematics

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“…Zhong et al [12] analyzed the characteristics of the distributed satellite cluster network and proposed a power control approach based on presetting prediction. For problems in task scheduling, a predictive-reactive scheduling model has been proposed using the hybrid of periodic task scheduling and dynamic adjustment [13]. Though some technical problems in SCNs have been widely researched, the technique of topology control strategy in SCNs is still immature and there are only a few studies focused on it.…”

Section: Introductionmentioning

confidence: 99%

A Topology Control Strategy with Reliability Assurance for Satellite Cluster Networks in Earth Observation

Chen

Zhang

2017

Sensors

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This article investigates the dynamic topology control problem of satellite cluster networks (SCNs) in Earth observation (EO) missions by applying a novel metric of stability for inter-satellite links (ISLs). The properties of the periodicity and predictability of satellites’ relative position are involved in the link cost metric which is to give a selection criterion for choosing the most reliable data routing paths. Also, a cooperative work model with reliability is proposed for the situation of emergency EO missions. Based on the link cost metric and the proposed reliability model, a reliability assurance topology control algorithm and its corresponding dynamic topology control (RAT) strategy are established to maximize the stability of data transmission in the SCNs. The SCNs scenario is tested through some numeric simulations of the topology stability of average topology lifetime and average packet loss rate. Simulation results show that the proposed reliable strategy applied in SCNs significantly improves the data transmission performance and prolongs the average topology lifetime.

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Predictive-Reactive Scheduling for Space Missions in Small Satellite Clusters

Cited by 2 publications

References 9 publications

Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method

Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method

A Topology Control Strategy with Reliability Assurance for Satellite Cluster Networks in Earth Observation

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