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

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 352)

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

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  • DOI: 10.1007/978-3-030-67720-6_10
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Correspondence to Norhafizah Muhammad .

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Muhammad, N., Lim, T.H. (2021). Evaluation of Dynamic Scheduling for Data Collection in Medical Application Using Firefly Synchronization Algorithm. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-67720-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67719-0

  • Online ISBN: 978-3-030-67720-6

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