Smart City Gnosys
Smart city article details
| Title | The Optimized Energy-Efficient Sensible Edge Processing Model For The Internet Of Vehicles In Smart Cities |
|---|---|
| ID_Doc | 56174 |
| Authors | Shen, XH; Yu, HT; Liu, XY; Bin, Q; Luhach, AK; Saravanan, V |
| Year | 2021 |
| Published | SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 47 |
| DOI | http://dx.doi.org/10.1016/j.seta.2021.101477 |
| Abstract | In developing production sectors, the Internet of Vehicle (IoV) is a significant interchange between the internet of things (IoT) and vehicle automation systems in smart cities. The Internet of Vehicles (IoV) uses the roadside unit (RSU) and nearby techniques to conduct different vehicle requirements. Since the number of vehicles and traffic delivery is growing asymmetrically, the service provider should implement innovative download strategies to increase efficiency and provide customers with high-quality service. Nevertheless, the lack of national knowledge and time-various IOVs make it extremely difficult for the roadside unit long-term energy restrictions to take successful offloading or discharging. Hence in this paper, the Optimized energy-efficient sensible edge processing (OEE-SEP) model for IoV in smart cities has been proposed for vehicle activity discharging with the estimated amount of time with less energy consumption. The sensible edge processing model comprises undirected activity discharging and similar activity discharging protocol, concerning the number of duties per unit time and the estimated time of completion for the same amount of information imported. An optimized energy-efficient model is formulated to reduce the total transmission delay and reduce the energy consumed during discharge. OEE-SEP leads to less energy consumption during activity discharging when the IoV processes and information loading activities are considered. The experimental results show that the suggested model enhances the performance rate of 97.45% with less transmission delay, less energy consumption for vehicle automation systems in smart cities. |
| Author Keywords | Internet of Vehicle (IoV); Energy-efficiency; Smart city; Sensible Edge Processing Model |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
32371  | 0.923 | Deepa J.; Ali S.A.; Hemamalini S. | Intelligent Energy Efficient Vehicle Automation System With Sensible Edge Processing Protocol In Internet Of Vehicles Using Hybrid Optimization Strategy | Wireless Networks, 29, 4 (2023) |
| 33101 | 0.895 | Mishra P.; Singh G. | Internet Of Vehicles For Sustainable Smart Cities: Opportunities, Issues, And Challenges | Smart Cities, 8, 3 (2025) |
| 33102 | 0.893 | Jaiswal S.; Singh Y. | Internet Of Vehicles For Sustainable Smart Cities: Technologies, Challenges, And Future Perspectives | Driving Innovation at the Intersection of Renewable Energy and the Internet of Vehicles (2025) |
| 1487 | 0.89 | El Azzaoui A.; Jeremiah S.R.; Xiong N.N.; Park J.H. | A Digital Twin-Based Edge Intelligence Framework For Decentralized Decision In Iov System | Information Sciences, 649 (2023) |
| 18372 | 0.884 | Ang, LM; Seng, KP; Ijemaru, GK; Zungeru, AM | Deployment Of Iov For Smart Cities: Applications, Architecture, And Challenges | IEEE ACCESS, 7 (2019) |
| 28399 | 0.881 | Wang J.; Zhu K.; Hossain E. | Green Internet Of Vehicles (Iov) In The 6G Era: Toward Sustainable Vehicular Communications And Networking | IEEE Transactions on Green Communications and Networking, 6, 1 (2022) |
| 23321 | 0.874 | Munawar M.; Kishor Kumar Reddy C.; Doss S. | Energy Management Strategies For Sustainable Smart Cities Using Iov | Driving Innovation at the Intersection of Renewable Energy and the Internet of Vehicles (2025) |
| 21743 | 0.873 | Chavhan S.; Gupta D.; Gochhayat S.P.; Chandana B.N.; Khanna A.; Shankar K.; Rodrigues J.J.P.C. | Edge Computing Ai-Iot Integrated Energy-Efficient Intelligent Transportation System For Smart Cities | ACM Transactions on Internet Technology, 22, 4 (2022) |
| 22745 | 0.865 | Sharma J.; Bhardwaj M.; Chantola N. | Emerging Applications And Future Scope Of Internet Of Vehicles For Smart Cities: A Survey | Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications (2024) |
| 30973 | 0.864 | Das D. | Improving Throughput And Energy Efficiency In Vehicular Ad-Hoc Networks Using Internet Of Vehicles And Mobile Femto Access Points | IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2019-October (2019) |