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The Scientific World Journal
Volume 2013, Article ID 304047, 11 pages
http://dx.doi.org/10.1155/2013/304047
Research Article

A Dynamic Scheduling Method of Earth-Observing Satellites by Employing Rolling Horizon Strategy

Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China

Received 31 December 2012; Accepted 17 February 2013

Academic Editors: A. De Felice, K. Kudela, and M. Ragulskis

Copyright © 2013 Qiu Dishan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [22 citations]

The following is the list of published articles that have cited the current article.

  • Hongliang Li, and Yunhua Li, “Optimal path planning for multi-target observation of remote sensing satellite,” 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), pp. 562–566, . View at Publisher · View at Google Scholar
  • Pratik Kumar Sinha, and Animesh Dutta, “Multi-satellite task allocation algorithm for Earth observation,” 2016 IEEE Region 10 Conference (TENCON), pp. 403–408, . View at Publisher · View at Google Scholar
  • Hongrae Kim, and Young-Keun Chang, “Mission scheduling optimization of SAR satellite constellation for minimizing system response time,” Aerospace Science and Technology, 2014. View at Publisher · View at Google Scholar
  • Andrei M. Bandalouski, Tai Chiu Edwin Cheng, Chi To Ng, Mikhail Y. Kovalyov, and Sze Sing Lam, “A graph-theoretic approach to interval scheduling on dedicated unrelated parallel machines,” Journal of the Operational Research Society, vol. 65, no. 10, pp. 1571–1579, 2014. View at Publisher · View at Google Scholar
  • Maocai Wang, Guangming Dai, and Massimiliano Vasile, “Heuristic Scheduling Algorithm Oriented Dynamic Tasks for Imaging Satellites,” Mathematical Problems in Engineering, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Xuejun Zhai, Xiaonan Niu, Hong Tang, Lixin Wu, and Yonglin Shen, “Robust Satellite Scheduling Approach for Dynamic Emergency Tasks,” Mathematical Problems in Engineering, vol. 2015, pp. 1–20, 2015. View at Publisher · View at Google Scholar
  • Xiaonan Niu, Hong Tang, Lixin Wu, Run Deng, and Xuejun Zhai, “Imaging-Duration Embedded Dynamic Scheduling of Earth Observation Satellites for Emergent Events,” Mathematical Problems in Engineering, vol. 2015, pp. 1–31, 2015. View at Publisher · View at Google Scholar
  • Hongrae Kim, and Young Keun Chang, “Mission scheduling optimization of SAR satellite constellation for minimizing system response time,” Aerospace Science and Technology, vol. 40, pp. 17–32, 2015. View at Publisher · View at Google Scholar
  • Junghyun Lee, Haedong Kim, Hyun Chung, and Kwanghee Ko, “Genetic algorithm-based scheduling for ground support of multiple satellites and antennae considering operation modes,” International Journal Of Aeronautical And Space Sciences, vol. 17, no. 1, pp. 89–100, 2016. View at Publisher · View at Google Scholar
  • Petr Skobelev, Vitaliy Travin, Elena Simonova, and Alexey Zhilyaev, “Multi-agent planning of spacecraft group for earth remote sensing,” Studies in Computational Intelligence, vol. 640, pp. 309–317, 2016. View at Publisher · View at Google Scholar
  • Yue Miao, Yong-Qiang Zhang, and Feng Wang, “Autonomous task planning of formation imaging satellites based on improved genetic algorithm,” Guangxue Jingmi Gongcheng/Optics and Precision Engineering, vol. 25, pp. 168–179, 2017. View at Publisher · View at Google Scholar
  • Sreeja Nag, Alan S. Li, and James H. Merrick, “Scheduling Algorithms for Rapid Imaging using Agile Cubesat Constellations,” Advances in Space Research, 2017. View at Publisher · View at Google Scholar
  • Peilong Yuan, Wei Han, Xichao Su, Jie Liu, and Jingyu Song, “A Dynamic Scheduling Method for Carrier Aircraft Support Operation under Uncertain Conditions Based on Rolling Horizon Strategy,” Applied Sciences, vol. 8, no. 9, pp. 1546, 2018. View at Publisher · View at Google Scholar
  • Niu, Tang, and Wu, “Multi-satellite observation scheduling for large area disaster emergency response,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, no. 3, pp. 1327–1331, 2018. View at Publisher · View at Google Scholar
  • Junghyun Lee, Heewon Kim, Hyun Chung, Haedong Kim, Sujin Choi, Okchul Jung, Daewon Chung, and Kwanghee Ko, “Schedule Optimization of Imaging Missions for Multiple Satellites and Ground Stations Using Genetic Algorithm,” International Journal of Aeronautical and Space Sciences, vol. 19, no. 1, pp. 139–152, 2018. View at Publisher · View at Google Scholar
  • L.K. Slongo, S.V. Martínez, B.V.B. Eiterer, T.G. Pereira, E.A. Bezerra, and K.V. Paiva, “Energy-driven scheduling algorithm for nanosatellite energy harvesting maximization,” Acta Astronautica, 2018. View at Publisher · View at Google Scholar
  • Eugine Jeong, and Heungseob Kim, “A Mathematical Model for Optimal Communication Scheduling between Multiple Satellites and Multiple Ground Stations,” Journal of Society of Korea Industrial and Systems Engineering, vol. 41, no. 1, pp. 39–49, 2018. View at Publisher · View at Google Scholar
  • Danjie Huang, Ziyu Zhou, Yingwu Chen, and Yanjie Song, “An emergency task autonomous planning method of agile imaging satellite,” Eurasip Journal on Image and Video Processing, vol. 2018, no. 1, 2018. View at Publisher · View at Google Scholar
  • Christopher G. Valicka, Deanna Garcia, Andrea Staid, Jean-Paul Watson, Gabriel Hackebeil, Sivakumar Rathinam, and Lewis Ntaimo, “Mixed-Integer Programming Models for Optimal Constellation Scheduling Given Cloud Cover Uncertainty,” European Journal of Operational Research, 2018. View at Publisher · View at Google Scholar
  • M. Barkaoui, and J. Berger, “A new hybrid genetic algorithm for the collection scheduling problem for a satellite constellation,” Journal of the Operational Research Society, pp. 1–21, 2019. View at Publisher · View at Google Scholar
  • Cornel Ioan Vălean, Snezana Mitrovic-Minic, Darren Thomson, Jean Berger, and Jeff Secker, “Collection Planning and Scheduling for Multiple Heterogeneous Satellite Missions: Survey, Optimization Problem, and Mathematical Programming Formulation,” (Almost) Impossible Integrals, Sums, and Series, pp. 271–305, 2019. View at Publisher · View at Google Scholar
  • Lijun He, Jiandong Li, Min Sheng, Runzi Liu, Kun Guo, and Di Zhou, “Dynamic Scheduling of Hybrid Tasks With Time Windows in Data Relay Satellite Networks,” IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 4989–5004, 2019. View at Publisher · View at Google Scholar