A framework involving MEC: imaging satellites mission planning
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A framework involving MEC: imaging satellites mission planning Yan-jie Song1 • Zi-yu Zhou2 • Zhong-shan Zhang1 • Feng Yao1 • Ying-wu Chen1 Received: 9 November 2018 / Accepted: 18 January 2019 Ó Springer-Verlag London Ltd., part of Springer Nature 2019
Abstract Satellite will play an important role in many important industries and exist as a carrier of information transmission in the era of Internet of Things. Massive data can be used in planning and scheduling processes A general data-driven frameworkimaging satellite mission planning framework (ISMPF) for solving imaging mission planning problems is proposed. ISMPF mainly includes three parts: task assignment, planning and scheduling and task execution. The framework gives a general solution to the problem of satellite mission planning. The two core parts of the planning and scheduling module are machine learning algorithms and planning and scheduling algorithms, which greatly affect the quality of the results. Machine learning algorithm is mainly used to quickly obtain feasible initial solution. This idea can be used to quickly analyze and model the imaging satellite observation mission planning, imaging satellite measurement and control, data downlink mission planning problems. It has a strong generality and is suitable for most situations of imaging satellites. In order to verify the validity of ISMPF, we designed test examples for measurement and control, data downlink missions. Experimental verification demonstrates the effectiveness of our proposed framework. Keywords Mission planning Framework Imaging satellite Mobile edge computing
1 Introduction Satellites are mainly divided into imaging satellites, communication satellites and navigation satellites. Imaging satellites are a class of satellites equipped with various payloads for capturing images and providing various types of information which can support human’s research of the earth and other planets. They are an important part of the satellite field. Imaging satellites can be broadly classified into two categories, one is a satellite carrying visible light loads, and the other is a satellite with non-visible light loads. Satellites with visible light loads are used to perform a variety of general camera tasks. Satellites equipped with non-visible loads are used for missions with specialized mission requirements. Today, imaging satellites have & Feng Yao [email protected] 1
College of Systems Engineering, National University of Defense Technology, Changsha 410073, Hunan, China
2
Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 117 Transportation Buld., 104 S. Mathews Ave., MC-238, Urbana, IL 61801-3080, USA
played an important role in ground exploration, weather forecasting, and disaster warning. With the rapid increase in the number of imaging satellites, the number of observation tasks has also increased. This situation leads to th
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