5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

A Caching Strategy Based on User Interest in Content-Centric Network

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  • @INPROCEEDINGS{10.1007/978-3-319-72823-0_2,
        author={Yuehua Huo and Yanyu Sun and Yu Zhang and Donglin Cui and Weiqiang Fan and Yinlong Liu},
        title={A Caching Strategy Based on User Interest in Content-Centric Network},
        proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
        proceedings_a={5GWN},
        year={2018},
        month={1},
        keywords={Content-Centric Networking Caching strategy User interest Grey relational analysis},
        doi={10.1007/978-3-319-72823-0_2}
    }
    
  • Yuehua Huo
    Yanyu Sun
    Yu Zhang
    Donglin Cui
    Weiqiang Fan
    Yinlong Liu
    Year: 2018
    A Caching Strategy Based on User Interest in Content-Centric Network
    5GWN
    Springer
    DOI: 10.1007/978-3-319-72823-0_2
Yuehua Huo1, Yanyu Sun1, Yu Zhang2, Donglin Cui1, Weiqiang Fan1, Yinlong Liu2,*
  • 1: China University of Mining and Technology
  • 2: Chinese Academy of Sciences
*Contact email: huoyh@cumtb.edu.cn

Abstract

In Content-Centric Networking, content caching is a critical issue. At present, most researches on content network caching mainly focus on network resource utilization, while user interest is neglected. In this paper, we propose a caching strategy based on user interest in the Content-Centric Networking. Firstly, it divides the users into several interest groups. Then get the appropriate caching probability for each node by using grey relational analysis method. Simulation results show that the caching strategy proposed in this paper can achieve higher cache hit ratio and less average hop count than Leave copy everywhere (LCE) and ProbCache.