About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings

Research Article

Evaluation of Dynamic Scheduling for Data Collection in Medical Application Using Firefly Synchronization Algorithm

Download(Requires a free EAI acccount)
4 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-67720-6_10,
        author={Norhafizah Muhammad and Tiong Hoo Lim},
        title={Evaluation of Dynamic Scheduling for Data Collection in Medical Application Using Firefly Synchronization Algorithm},
        proceedings={Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020,  Proceedings},
        proceedings_a={CHINACOM},
        year={2021},
        month={2},
        keywords={Firefly algorithm Bio-inspired Sychronization Transmission scheduling Health monitoring},
        doi={10.1007/978-3-030-67720-6_10}
    }
    
  • Norhafizah Muhammad
    Tiong Hoo Lim
    Year: 2021
    Evaluation of Dynamic Scheduling for Data Collection in Medical Application Using Firefly Synchronization Algorithm
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-67720-6_10
Norhafizah Muhammad,*, Tiong Hoo Lim
    *Contact email: norhafizah.muhammad@utb.edu.bn

    Abstract

    This paper proposed a dynamic data transmission scheduling algorithm based on the way a group of firefly communicating with one another. The proposed algorithm will be compared again with a random transmission approach. To evaluate the performance of the algorithms, different numbers of nodes in the networks will be evaluated. The results from the hardware experiments have shown that the firefly algorithm can schedule the transmission of data packet with high delivery rate for a small network. However, as the number of nodes increases, the packet delivery rate decreases. The proposed algorithm can also increase the lifespan of the battery as the nodes will be operating in the sleep mode and will only be awake during the sychronization period for data transmission.

    Keywords
    Firefly algorithm Bio-inspired Sychronization Transmission scheduling Health monitoring
    Published
    2021-02-02
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-030-67720-6_10
    Copyright © 2020–2025 ICST
    EBSCOProQuestDBLPDOAJPortico
    EAI Logo

    About EAI

    • Who We Are
    • Leadership
    • Research Areas
    • Partners
    • Media Center

    Community

    • Membership
    • Conference
    • Recognition
    • Sponsor Us

    Publish with EAI

    • Publishing
    • Journals
    • Proceedings
    • Books
    • EUDL