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Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II

Research Article

Analysis on Relationship Between Fractional Calculus Fluid Model and Effective Capacity of Bursty Data Service in Multi-hop Wireless Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-72795-6_27,
        author={Lei Chen and Ping Cui and Kailiang Zhang and Yuan An},
        title={Analysis on Relationship Between Fractional Calculus Fluid Model and Effective Capacity of Bursty Data Service in Multi-hop Wireless Networks},
        proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II},
        proceedings_a={SIMUTOOLS PART 2},
        year={2021},
        month={4},
        keywords={Fluid model QoS Effective capacity Multi-hop wireless networks},
        doi={10.1007/978-3-030-72795-6_27}
    }
    
  • Lei Chen
    Ping Cui
    Kailiang Zhang
    Yuan An
    Year: 2021
    Analysis on Relationship Between Fractional Calculus Fluid Model and Effective Capacity of Bursty Data Service in Multi-hop Wireless Networks
    SIMUTOOLS PART 2
    Springer
    DOI: 10.1007/978-3-030-72795-6_27
Lei Chen1,*, Ping Cui1, Kailiang Zhang1, Yuan An1
  • 1: Jiangsu Province Key Laboratory of Intelligent Industry Control Technology, Xuzhou University of Technology
*Contact email: chenlei@xzit.edu.cn

Abstract

A fractional calculus fluid model can be used to better explain the traffic of bursty data service. It is long-range dependence and has a fractal-like feature of network data flow. This paper builds a fluid model to describe the traffic of multi-hop wireless networks with QoS constraint. We use effective capacity model to depict the performance of bursty data service in wireless networks with QoS constraint. Finally, experiment results show that the heavy-tailed delay distributions, the hyperbolically decay of the packet delay auto-covariance function and fractional differential equations are formally related. Our method is effective and feasible.

Keywords
Fluid model QoS Effective capacity Multi-hop wireless networks
Published
2021-04-26
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-72795-6_27
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