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An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach

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  • Kemal Gökhan Nalbant
  • Sultan Almutairi
  • Asma Hassan Alshehri
  • Hayle Kemal
  • Suliman A Alsuhibany
  • Bong Jun Choi

Abstract

This paper proposes a novel cache replacement technique based on the notion of combining periodic popularity prediction with size caching. The popularity, size, and time updates characteristics are used to calculate the value of each cache item. When it comes to content replacement, the information with the least value is first eliminated. Simulation results show that the proposed method outperforms the current algorithms in terms of cache hit rate and delay. The hit rate of the proposed scheme is 15.3% higher than GDS, 17.3% higher than MPC, 20.1% higher than LRU, 22.3% higher than FIFO, and 24.8% higher than LFU when 350 different categories of information are present. In real-world industrial applications such as including supply chain management, smart manufacturing, automation energy optimization, intelligent logistics transportation, and e-healthcare applications, it offers a foundation for the selection of caching algorithms.

Suggested Citation

  • Kemal Gökhan Nalbant & Sultan Almutairi & Asma Hassan Alshehri & Hayle Kemal & Suliman A Alsuhibany & Bong Jun Choi, 2024. "An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-29, July.
    • Handle: RePEc:plo:pone00:0305092
    DOI: 10.1371/journal.pone.0305092
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    References listed on IDEAS

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    1. Xujian Zhao & Wei Li, 2021. "Trend Prediction of Event Popularity from Microblogs," Future Internet, MDPI, vol. 13(9), pages 1-13, August.
    2. Weiguang Wang & Hui Li & Yang Liu & Wei Cheng & Haoyang Qin, 2020. "Caching deployment based on energy efficiency in device-to-device cooperative networks," International Journal of Distributed Sensor Networks, , vol. 16(12), pages 15501477209, December.
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