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

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...

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Bibliographic Details
Published in:PloS one 2024-07, Vol.19 (7), p.e0305092
Main Authors: Nalbant, Kemal Gökhan, Almutairi, Sultan, Alshehri, Asma Hassan, Kemal, Hayle, Alsuhibany, Suliman A, Choi, Bong Jun
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial intelligence
Automation
Caching
Computer and Information Sciences
Computer Communication Networks
Computer Simulation
Data transmission
Edge computing
Engineering and Technology
Factories
Industrial applications
Information management
Internet of Things
Machine learning
Physical Sciences
Popularity
Research and Analysis Methods
Social networks
Social Sciences
Supply chains
Television programs
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0305092