The optimized energy-efficient sensible edge processing model for the internet of vehicles in smart cities

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.