| Title | Application of edge computing-based information-centric networking in smart cities |
|---|---|
| ID_Doc | 39889 |
| Authors | Salih, HS; Jaber, MM; Ali, MH; Abd, SK; Alkhayyat, A; Malik, RQ |
| Title | Application of edge computing-based information-centric networking in smart cities |
| Year | 2023 |
| Published | |
| 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. |
Similar Articles
| ID | Score | Article |
|---|---|---|
36717
|
Hossain, SKA; Rahman, MA; Hossain, MA Edge computing framework for enabling situation awareness in IoT based smart city(2018) | |
| 44127
|
Qian, LP; Wu, Y; Ji, B; Huang, L; Tsang, DHK HybridIoT: Integration of Hierarchical Multiple Access and Computation Offloading for IoT-Based Smart Cities(2019)Ieee Network, 33, 2 | |
| 40402
|
Liu, ZR A Multi-joint Optimisation Method for Distributed Edge Computing Resources in IoT-Based Smart Cities(2023)Journal Of Grid Computing, 21, 4 | |
| 40607
|
Tufail, A; Namoun, A; Alrehaili, A; Ali, A A Survey on 5G Enabled Multi-Access Edge Computing for Smart Cities: Issues and Future Prospects(2021)International Journal Of Computer Science And Network Security, 21, 6 | |
| 41971
|
Wang, SG; Zhao, YL; Xu, JL; Yuan, J; Hsu, CH Edge server placement in mobile edge computing(2019) | |
| 45381
|
Peng, K; Liu, PC; Tao, P; Huang, QJ Security-Aware computation offloading for Mobile edge computing-Enabled smart city(2021)Journal Of Cloud Computing-Advances Systems And Applications, 10, 1 | |
| 41567
|
Quwaider, M; Al-Alyyoub, M; Jararweh, Y Cloud Support Data Management Infrastructure for Upcoming Smart Cities(2016) | |
| 40221
|
Mahmood, OA; Abdellah, AR; Muthanna, A; Koucheryavy, A Distributed Edge Computing for Resource Allocation in Smart Cities Based on the IoT(2022)Information, 13, 7 | |
| 37841
|
Souza, A; Wen, ZY; Cacho, N; Romanovsky, A; James, P; Ranjan, R Using Osmotic Services Composition for Dynamic Load Balancing of Smart City Applications(2018) | |
| 43503
|
Sanchez-Iborra, R; Sanchez-Gomez, J; Skarmeta, A Evolving IoT networks by the confluence of MEC and LP-WAN paradigms(2018) |