A hybrid online scheduling mechanism with revision and progressive techniques for autonomous Earth observation satellite. (November 2017)

• Record Type: Journal Article
• Authors: Li, Guoliang; Xing, Lining; Chen, Yingwu
• Is Part Of: Acta astronautica. Volume 140(2017)
• Page Start: 308
• Page End: 321
• Publication Date: 2017-11
• Subjects: Autonomous earth observation satellite -- Sensor web -- Online scheduling -- Urgent tasks -- Progressive techniques -- Revision techniques; Astronautics -- Periodicals; Outer space -- Exploration -- Periodicals; Astronautics; Periodicals; 629.405
• DOI: 10.1016/j.actaastro.2017.08.011
• Languages: English
• ISSNs: 0094-5765

Abstract

Abstract: The autonomicity of self-scheduling on Earth observation satellite and the increasing scale of satellite network attract much attention from researchers in the last decades. In reality, the limited onboard computational resource presents challenge for the online scheduling algorithm. This study considered online scheduling problem for a single autonomous Earth observation satellite within satellite network environment. It especially addressed that the urgent tasks arrive stochastically during the scheduling horizon. We described the problem and proposed a hybrid online scheduling mechanism with revision and progressive techniques to solve this problem. The mechanism includes two decision policies, a when-to-schedule policy combining periodic scheduling and critical cumulative number-based event-driven rescheduling, and a how-to-schedule policy combining progressive and revision approaches to accommodate two categories of task: normal tasks and urgent tasks. Thus, we developed two heuristic (re)scheduling algorithms and compared them with other generally used techniques. Computational experiments indicated that the into-scheduling percentage of urgent tasks in the proposed mechanism is much higher than that in periodic scheduling mechanism, and the specific performance is highly dependent on some mechanism-relevant and task-relevant factors. For the online scheduling, the modified weighted shortest imaging time first and dynamic profit system benefit heuristics outperformed the others on total profit and the percentage of successfully scheduled urgent tasks. Highlights: The proposed hybrid scheduling mechanism outperforms periodic mechanism. The performance is highly dependent on some mechanism- & task-relevant factors. The proposed m -WSITF and d-PSB are preferred to be online scheduling heuristics.