| Makale Türü | Özgün Makale (SCOPUS dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Intelligent Systems and Internet of Things | ||
| Dergi ISSN | 2769-786X Scopus Dergi | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2023 |
| Cilt / Sayı / Sayfa | 8 / 2 / 72–85 | DOI | 10.54216/JISIoT.080208 |
| Makale Linki | http://www.scopus.com/inward/record.url?eid=2-s2.0-85176809888&partnerID=MN8TOARS | ||
| UAK Araştırma Alanları |
Fen Bilimleri ve Matematik
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| Özet |
| Many data resources and network availability are needed for smart city applications to execute at their highest efficiency level. Demand for these objects is driving up data traffic, which in turn is placing strain on the network. The 5G-enabled Internet of Things applications address these difficulties in smart city applications. This article proposes an Information-centric Networking System using Multiaccess Edge Computing (ICNMEC) to reduce computation offloading and optimize data traffic. This system's 5G network slicing approaches combine edge computing and software characterization. Internet of Things applications have been used to store and analyze the information gathered. In addition, an algorithm known as OMNM (Optimized Memory Network Management) is created to control network traffic better and better use of storage. With minimal delays, network traffic, and storage ratio, the system's modelling tests … |
| Anahtar Kelimeler |
| Edge computing | information access | memory | networking | smart city |
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 24 |
| Dergi Adı | Journal of Intelligent Systems and Internet of Things |
| Yayıncı | American Scientific Publishing Group (ASPG) |
| Açık Erişim | Hayır |
| ISSN | 2769-786X |
| E-ISSN | 2690-6791 |
| CiteScore | 3,3 |
| SJR | 0,279 |
| SNIP | 1,112 |