{"title":"Multi-satellite mission allocation and scheduling method for large-scale problem","authors":"Zhouxiao Li , Yuan Liu , MingZhi Wang , Yan Zhao","doi":"10.1016/j.asr.2025.05.067","DOIUrl":null,"url":null,"abstract":"<div><div>The application of multiple agile earth observation satellites (multi-AEOSs) in handling large-scale observation missions has garnered widespread attention. This paper presents the potential game-based allocation method (PGAM) for the large-scale problem of multi-AEOSs constellation. First, the mission planning process is divided into two phases, including mission allocation for the whole constellation and mission scheduling for individual EOSs. A heuristic collaborative mechanism is designed to balance the maximization of observation targets and minimization of waiting time, based on AEOS entry sequence into the area of interest (AoI). The multi-AEOS mission allocation problem is then transformed into a generalized ordinal potential game (GOPG). Consequently, the Nash equilibrium (NE) is rigorously proved to be obtainable. Finally, the local strategy search algorithm (LSSA) is introduced for scheduling individual AEOSs in order to rapidly converging to the NE, in which two strategies combining global and local search are developed. The simulation results demonstrate that the PGAM-LSSA outperforms the competing algorithms in various instances.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 4","pages":"Pages 2123-2139"},"PeriodicalIF":2.8000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Space Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0273117725005484","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
The application of multiple agile earth observation satellites (multi-AEOSs) in handling large-scale observation missions has garnered widespread attention. This paper presents the potential game-based allocation method (PGAM) for the large-scale problem of multi-AEOSs constellation. First, the mission planning process is divided into two phases, including mission allocation for the whole constellation and mission scheduling for individual EOSs. A heuristic collaborative mechanism is designed to balance the maximization of observation targets and minimization of waiting time, based on AEOS entry sequence into the area of interest (AoI). The multi-AEOS mission allocation problem is then transformed into a generalized ordinal potential game (GOPG). Consequently, the Nash equilibrium (NE) is rigorously proved to be obtainable. Finally, the local strategy search algorithm (LSSA) is introduced for scheduling individual AEOSs in order to rapidly converging to the NE, in which two strategies combining global and local search are developed. The simulation results demonstrate that the PGAM-LSSA outperforms the competing algorithms in various instances.
期刊介绍:
The COSPAR publication Advances in Space Research (ASR) is an open journal covering all areas of space research including: space studies of the Earth''s surface, meteorology, climate, the Earth-Moon system, planets and small bodies of the solar system, upper atmospheres, ionospheres and magnetospheres of the Earth and planets including reference atmospheres, space plasmas in the solar system, astrophysics from space, materials sciences in space, fundamental physics in space, space debris, space weather, Earth observations of space phenomena, etc.
NB: Please note that manuscripts related to life sciences as related to space are no more accepted for submission to Advances in Space Research. Such manuscripts should now be submitted to the new COSPAR Journal Life Sciences in Space Research (LSSR).
All submissions are reviewed by two scientists in the field. COSPAR is an interdisciplinary scientific organization concerned with the progress of space research on an international scale. Operating under the rules of ICSU, COSPAR ignores political considerations and considers all questions solely from the scientific viewpoint.