Smart City Gnosys

Smart city article details

Title Application Of Edge Computing-Based Information-Centric Networking In Smart Cities
ID_Doc 9865
Authors salih H.S.; Jaber M.M.; Ali M.H.; Abd S.K.; Alkhayyat A.; Malik R.Q.
Year 2023
Published Computer Communications, 211
DOI http://dx.doi.org/10.1016/j.comcom.2023.09.003
Abstract 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 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. © 2023
Author Keywords Edge computing; Information access; Memory; Networking; Smart city


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