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Imaging-Duration Embedded Dynamic Scheduling of Earth Observation Satellites for Emergent Events
Joint Authors
Tang, Hong
Zhai, Xuejun
Niu, Xiaonan
Deng, Run
Wu, Lixin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-31, 31 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-16
Country of Publication
Egypt
No. of Pages
31
Main Subjects
Abstract EN
We present novel two-stage dynamic scheduling of earth observation satellites to provide emergency response by making full use of the duration of the imaging task execution.
In the first stage, the multiobjective genetic algorithm NSGA-II is used to produce an optimal satellite imaging schedule schema, which is robust to dynamic adjustment as possible emergent events occur in the future.
In the second stage, when certain emergent events do occur, a dynamic adjusting heuristic algorithm (CTM-DAHA) is applied to arrange new tasks into the robust imaging schedule.
Different from the existing dynamic scheduling methods, the imaging duration is embedded in the two stages to make full use of current satellite resources.
In the stage of robust satellite scheduling, total task execution time is used as a robust indicator to obtain a satellite schedule with less imaging time.
In other words, more imaging time is preserved for future emergent events.
In the stage of dynamic adjustment, a compact task merging strategy is applied to combine both of existing tasks and emergency tasks into a composite task with least imaging time.
Simulated experiments indicate that the proposed method can produce a more robust and effective satellite imaging schedule.
American Psychological Association (APA)
Niu, Xiaonan& Tang, Hong& Wu, Lixin& Deng, Run& Zhai, Xuejun. 2015. Imaging-Duration Embedded Dynamic Scheduling of Earth Observation Satellites for Emergent Events. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-31.
https://search.emarefa.net/detail/BIM-1074605
Modern Language Association (MLA)
Niu, Xiaonan…[et al.]. Imaging-Duration Embedded Dynamic Scheduling of Earth Observation Satellites for Emergent Events. Mathematical Problems in Engineering No. 2015 (2015), pp.1-31.
https://search.emarefa.net/detail/BIM-1074605
American Medical Association (AMA)
Niu, Xiaonan& Tang, Hong& Wu, Lixin& Deng, Run& Zhai, Xuejun. Imaging-Duration Embedded Dynamic Scheduling of Earth Observation Satellites for Emergent Events. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-31.
https://search.emarefa.net/detail/BIM-1074605
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074605