التفاصيل البيبلوغرافية
| العنوان: |
Research on IoT data aggregation by fusing fast matching algorithms |
| المؤلفون: |
Jiang Congshi, Chen Quan |
| المصدر: |
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024) |
| بيانات النشر: |
Sciendo, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Mathematics |
| مصطلحات موضوعية: |
internet of things, data aggregation, fast matching algorithm, fma-coverage model, network performance, 78-02, Mathematics, QA1-939 |
| الوصف: |
The characteristics of data aggregation with different network environments and dynamic changes in channel availability make some problems in IoT data aggregation. Therefore, this paper proposes an FMA-coverage model for algorithm design based on edge information. The FMA-coverage model includes the method of edge frequency, the method of primitive length (stroke), the texture energy metric of Laws and the method of fractal texture description. The FMA-coverage model can improve the network performance of IoT data aggregation. From the computational analysis, it can be seen that the security of data storage is only 17%. After the improvement of the fast matching algorithm, the security is up to 87%. After the network coding scheme, the IoT performance of data aggregation is up to 95%. It is important to note that, in this case, the required transmission volume in the network can be greatly reduced when the links are long. The IoT performance is up to 97% with the compression-aware scheme. By cross-sectional comparison, the IoT-based mobile model has the highest accuracy, with 98% accuracy of data aggregation. This paper extends the data aggregation mechanism by introducing fast-matching algorithms for device authentication and secure storage. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2444-8656 |
| Relation: |
https://doaj.org/toc/2444-8656 |
| DOI: |
10.2478/amns.2023.2.00305 |
| URL الوصول: |
https://doaj.org/article/34bee8db3cfb4cec8dd72f9fb3924630 |
| رقم الانضمام: |
edsdoj.34bee8db3cfb4cec8dd72f9fb3924630 |
| قاعدة البيانات: |
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