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Application of Edge Computing-Based Information-Centric Networking in Smart Cities    
Yazarlar
Munqith Saleem
Al-Farahidi University, Iraq
Hanan Burhan Saadon
National University of Science and Technology, Iraq
Marwa S. Mahdi Hussin
Al-Turath University, Iraq
Tamarah Alaa Diame
Al-Kunooze University College, Iraq
Raaid Alubady
Al-Ayen Iraqi University, AUIQ, Iraq
Mohd K. Abd Ghani
Universiti Teknikal Malaysia Melaka, Malaysia
Doç. Dr. Hatıra GÜNERHAN Doç. Dr. Hatıra GÜNERHAN
Kafkas Üniversitesi, Türkiye
Özet
Many data resources and network availability are needed for the 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 modeling tests demonstrate that it is very efficient. This method can progressively enhance the pace at which one can access and use the system. The performance assessment shows that the proposed method can improve the efficiency ratio of 95.141%, storage utilization ratio of 60.1%, and access rate by 0.9, reducing network traffic and delay by 0.6.
Anahtar Kelimeler
Edge computing | information access | memory | networking | smart city
Makale Türü Özgün Makale
Makale Alt Türü SCOPUS dergilerinde yayımlanan tam makale
Dergi Adı Journal of Intelligent Systems and Internet of Things
Dergi ISSN 2769-786X
Makale Dili İngilizce
Basım Tarihi 01-2023
Cilt No 8
Sayı 2
Sayfalar 72 / 85
Doi Numarası 10.54216/JISIoT.080208