Application of Edge Computing-Based Information-Centric Networking in Smart Cities
Yazarlar (7)
Munqith Saleem
Al-Farahidi University, Irak
Hanan Burhan Saadon
National University Of Science And Technology, Irak
Marwa S. Mahdi Hussin
Al-Turath University, Irak
Tamarah Alaa Diame
Al-Kunooze University College, Irak
Raaid Alubady
Al-Ayen Iraqi University, Auıq, Irak
Mohd K. Abd Ghani
Universiti Teknikal Malaysia Melaka, Malezya
Doç. Dr. Hatıra GÜNERHAN Kafkas Üniversitesi, Türkiye
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
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
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Scopus 1
Google Scholar 24
Application of Edge Computing-Based Information-Centric Networking in Smart Cities

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