2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 8 , Issue 2 , PP: 72-85, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Munqith Saleem 1 * , Hanan Burhan Saadon 2 , Marwa S. Mahdi Hussin 3 , Tamarah Alaa Diame 4 , Raaid Alubady 5 , Mohd K. Abd Ghani 6 , Hatıra Günerhan 7
Doi: https://doi.org/10.54216/JISIoT.080208
Many data resources and network availability are needed for the smart city applications to execute at their highest efficiency level Many interconnected devices in a smart city produce vast quantities of data and will likely have new uses in the near future. In smart cities, the Internet of Things (IoT) and 5G beyond networks provide dependable, large-scale data exchange and communication. A new intelligent ecosystem is the goal of 5G, and the technology that will make it possible is the next-gen networking technologies. The drawback of smart devices is their limited computational capability. Adding in-network caching into information-centric edge networks allows them to overcome this obstacle. Hence, this study suggests an Adaptive Information-Centric Network based on Edge Computing Framework (AICN-ECF) to reduce data traffic and latency with high security in smart cities. Integrating EC and ICN allows content distribution to be handled quickly, improving user experience. This study provides an ICN-based edge caching system with four cache attributes for managing large multimedia data traffic in smart cities built on the Internet of Things. At the base station (BS) application layer, there is support for ICN and device-to-device (D2D) communication, which allows for caching of requested material at the network's edge. This layered design is the first step in the process. Secondly, to facilitate efficient caching, a selection has been offered to cache contents at network nodes in a layered network design, considering a variety of centrality indicators. Finally, this study provides a method for caching material close to the delivery path in ICN network layers, allowing for rapid content distribution by using near-path caching. The experimental findings demonstrate that the suggested AICN-ECF model increases the cache hit ratio of 98.7%, content retrieval time of 97.8%, data security ratio of 96.5%, data transmission ratio of 95.6% and delay ratio of 11.2% compared to other popular models.
Edge computing , networking , information access , smart city , memory
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