Abstract
Characteristics of LEO satellite networks, like dynamically changed topological structures, limited on-board resources, and longer communication delay, have brought new challenges to the construction of satellite networks. By analyzing existing routing models for satellite networks, this paper proposes an auction-gaming-based routing model for LEO satellite networks, based on the DTN protocol and against such characteristics. By making use of an auction model, it takes space propagation loss, residual storage space of a node, and routing hop counts as important bases for routing selection. Analysis shows that besides the routing function, this model also plays an active role in avoiding “selfish” satellite nodes, as well as in relieving network congestion.
Supported by the National High-tech R&D Program of China (2015AA015701); Supported by Foundation of Jilin Educational Committee (JJKH20170628KJ); Supported by Science and Technology Development Project of Jilin Province (20150312030ZX).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cong, L., Yang, H., Wang, Y., Di, X. (2018). An Auction-Gaming Based Routing Model for LEO Satellite Networks. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_54
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