Abstract
The mission planning for multisatellite is a complex optimization problem, which is sensitive to time delay caused by communication and decision. Different modes are suitable for different situations. Therefore, we design the workflows of three modes: the independence mode, the MAS mode, and the ground-based mode. And then, a real-time mode selection method based on the three-way decision is proposed to choose the best mode onboard. The experiments proved the effectiveness and advantage of our proposed method.
Highlights
Satellite remote sensing is aimed at obtaining information from the earth’s surface and has been widely used in geography, earth science, meteorology, military, etc. [1]
We propose a multimode method based on the three-way decision under a decentralized architecture
Random time delay 0 0.5 1 1.5 2 3 4 5 where AðiimÞ is the membership of the ith mission in the fuzzy area FAim, dðilÞ is the distance from the ith mission point in space to the left envelope, and dðirÞ is the distance from the ith 8 < independence mode, modei = : Aði imÞ
Summary
Satellite remote sensing is aimed at obtaining information from the earth’s surface and has been widely used in geography, earth science, meteorology, military, etc. [1]. Iacopino et al [16] designed an innovative self-organizing multiagent ground-based automated planning and scheduling architecture, inspired by ant colony optimization algorithms. Globus et al [18] applied and compared the genetic algorithm, simulated annealing, squeaky wheel optimization, and stochastic hill-climbing methods, which solve the scheduling problem effectively, and simulated annealing with 1-9 random swaps performed the best. These methods can hardly be used onboard considering computation and communication limitations.
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