Abstract
In view of the current situation that different Earth Observation Satellite systems are independent in our country, which results in the failure to share resources and to cope with numerous emergency tasks effectively, the paper proposes a Multi-platform Distributed Coordinate Task Scheduling Algorithm (MDCTS Algorithm) via consensus ADMM (Alternating Direction Method of Multipliers). Firstly, the problem of maximizing the overall value of multi-platform is modelled as a mixed-integer linear programming problem. Then, the global optimization problem is decomposed into the scheduling of each platform based on local information and public task price issued by collaborative center. On the basis, MDCTS Algorithm is proposed. The simulation results show that compared to existing algorithm, the value of local and public tasks achieved by MDCTS Algorithm is higher under the premise that the local tasks and resource information of each controlling platform do not have to be disclosed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, Y., Sheng, M., Zhuang, W.H., et al.: Multi-resource coordinate scheduling for earth observation in space information networks. IEEE J. Sel. Areas Commun. 36(2), 268–279 (2018)
Jiang, C., Wang, X., Wang, J., et al.: Security in space information networks. IEEE Commun. Mag. 53(8), 82–88 (2015)
Yu, J.: Research on Key Technologies of Cooperative Task Scheduling for Airborne and Spaceborne Earth Observing Assets. National University of Defense Technology, Changsha (2011)
Hou, S., Liu, H.: Chinese satellite programs: an internal view. In: Schrogl, K.-U., Hays, P.L., Robinson, J., Moura, D., Giannopapa, C. (eds.) Handbook of Space Security, pp. 885–898. Springer, New York (2015). https://doi.org/10.1007/978-1-4614-2029-3_33
Wang, H.L., Wu, G.H., Ma, M.H.: Coordinated task planning method of multiple heterogeneous Earth-observation platforms. Acta Aeronautica et Astronautica Sinica 37(3), 997–1014 (2016)
Wu, G.H., Pedrycz, W., Li, H.F., et al.: Coordinated planning of heterogeneous earth observation resources. IEEE Trans. Syst. Man Cybern. Syst. 46(1), 109–125 (2016)
Boyd, S., Parikh, N., Chu, E., et al.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3(1), 1–125 (2010)
Acknowledgments
This work is supported by the National Natural Science Foundation of China (No. 61701365, 61801365, 91638202), China Postdoctoral Science Foundation (No. 2017M623121, No. 2018M643581), Postdoctoral Foundation in Shaanxi Province of China, Fundamental Research Funds for the Central Universities.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wu, J., Liu, R., Sheng, M., Li, J., Chi, K., Tian, W. (2019). Coordinated Earth Observation Task Scheduling Algorithm for Multiple Controlling Platforms. In: Yu, Q. (eds) Space Information Networks. SINC 2018. Communications in Computer and Information Science, vol 972. Springer, Singapore. https://doi.org/10.1007/978-981-13-5937-8_12
Download citation
DOI: https://doi.org/10.1007/978-981-13-5937-8_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-5936-1
Online ISBN: 978-981-13-5937-8
eBook Packages: Computer ScienceComputer Science (R0)