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Industrial Networks and Intelligent Systems. 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings

Research Article

Energy-Efficient Mobility-Aware Clustering Protocol in WBASN for eHealth Applications

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  • @INPROCEEDINGS{10.1007/978-3-030-77424-0_4,
        author={Thien T. T. Le and Nguyen-Duy Lai and LeminhThien Huynh and VanCuu Ho},
        title={Energy-Efficient Mobility-Aware Clustering Protocol in WBASN for eHealth Applications},
        proceedings={Industrial Networks and Intelligent Systems. 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings},
        proceedings_a={INISCOM},
        year={2021},
        month={5},
        keywords={Wireless body area sensor network Energy-efficient Clustering eHealth applications},
        doi={10.1007/978-3-030-77424-0_4}
    }
    
  • Thien T. T. Le
    Nguyen-Duy Lai
    LeminhThien Huynh
    VanCuu Ho
    Year: 2021
    Energy-Efficient Mobility-Aware Clustering Protocol in WBASN for eHealth Applications
    INISCOM
    Springer
    DOI: 10.1007/978-3-030-77424-0_4
Thien T. T. Le,*, Nguyen-Duy Lai, LeminhThien Huynh, VanCuu Ho
    *Contact email: thien.lett@sgu.edu.vn

    Abstract

    Wireless body area sensor networks (WBASN) becomes an emerge network which is now implemented for eHealth applications. The WBASN consists of multiple embedded biosensors and the coordinator. The biosensors collect vital data of human body, which will be transmitted to the coordinator; then, the coordinator forwards the vital data to doctor via the Internet. Because many sensors may select the same routing path to the coordinator, the collision of transmission may occur which leads to degrade network performance. In this paper, we proposed an energy-efficient mobility-aware clustering protocol (EMAC) which allows the sensors to form into clusters, then only cluster heads forward data to the coordinator. The results show that network performance has been improved in terms of high residual energy at the sensor nodes and high received packets at the coordinator.

    Keywords
    Wireless body area sensor network Energy-efficient Clustering eHealth applications
    Published
    2021-05-28
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-030-77424-0_4
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