Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

Research Article

An Auction-Gaming Based Routing Model for LEO Satellite Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-73447-7_54,
        author={Ligang Cong and Huamin Yang and Yanghui Wang and Xiaoqiang Di},
        title={An Auction-Gaming Based Routing Model for LEO Satellite Networks},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={Auction gaming LEO satellite networks Routing model},
        doi={10.1007/978-3-319-73447-7_54}
    }
    
  • Ligang Cong
    Huamin Yang
    Yanghui Wang
    Xiaoqiang Di
    Year: 2018
    An Auction-Gaming Based Routing Model for LEO Satellite Networks
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73447-7_54
Ligang Cong1,*, Huamin Yang1,*, Yanghui Wang1,*, Xiaoqiang Di1,*
  • 1: Changchun University of Science and Technology
*Contact email: clg_cust@126.com, yhm@cust.edu.cn, wyh@cust.edu.cn, dixiaoqiang@126.com

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.