Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

Distributed Channel Allocation for Wireless Mesh Networks Based on Hypergraph Interference Model

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  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_19,
        author={Chen Pan and Yunpeng Cheng and Ducheng Wu and Lei Zhao and Yuli Zhang},
        title={Distributed Channel Allocation for Wireless Mesh Networks Based on Hypergraph Interference Model},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={Wireless mesh networks Channel allocation Hypergraph Potential game},
        doi={10.1007/978-3-030-00557-3_19}
    }
    
  • Chen Pan
    Yunpeng Cheng
    Ducheng Wu
    Lei Zhao
    Yuli Zhang
    Year: 2018
    Distributed Channel Allocation for Wireless Mesh Networks Based on Hypergraph Interference Model
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_19
Chen Pan1,*, Yunpeng Cheng1,*, Ducheng Wu1,*, Lei Zhao1,*, Yuli Zhang1,*
  • 1: Army Engineering University of PLA
*Contact email: panchenlgdx@163.com, ypcheng@yahoo.com, wuducheng@foxmail.com, johnson-007@163.com, yulipkueecs08@126.com

Abstract

Wireless mesh networks (WMNs) are widely used to expand the current wireless network coverage. In this paper, we present a hypergraph-based channel selection method to allocate channels, which can be used to alleviate the accumulative interference from multiple weak interfering links in WMNs. Firstly, we build the ternary interference hypergraph model for all links in a WMN. Then we present a interference mitigating hypergraph game to solve the distributed channel selection problem. It is proved that the proposed game is an exact potential game with at least one Nash equilibrium (NE). Finally, a best reply (BR) based channel selection algorithm for the interference mitigating hypergraph game is presented to obtain NEs. Simulation results show that the presented channel selection method with hypergraph model has a lower global accumulate protocol interference than the existing method with binary graph model.