Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities

Abstract

Recently, the concept of combining ‘things’ on the Internet to provide various services has gained tremendous momentum. Such a concept has also impacted the automotive industry, giving rise to the Internet of Vehicles (IoV). IoV enables Internet connectivity and communication between smart vehicles and other devices on the network. Shifting the computing towards the edge of the network reduces communication delays and provides various services instantly. However, both distributed (i.e., edge computing) and central computing (i.e., cloud computing) architectures suffer from several inherent issues, such as high latency, high infrastructure cost, and performance degradation. We propose a novel concept of computation, which we call moisture computing (MC) to be deployed slightly away from the edge of the network but below the cloud infrastructure. The MC-based IoV architecture can be used to assist smart vehicles in collaborating to solve traffic monitoring, road safety, and management issues. Moreover, the MC can be used to dispatch emergency and roadside assistance in case of incidents and accidents. In contrast to the cloud which covers a broader area, the MC provides smart vehicles with critical information with fewer delays. We argue that the MC can help reduce infrastructure costs efficiently since it requires a medium-scale data center with moderate resources to cover a wider area compared to small-scale data centers in edge computing and large-scale data centers in cloud computing. We performed mathematical analyses to demonstrate that the MC reduces network delays and enhances the response time in contrast to the edge and cloud infrastructure. Moreover, we present a simulation-based implementation to evaluate the computational performance of the MC. Our simulation results show that the total processing time (computation delay and communication delay) is optimized, and delays are minimized in the MC as apposed to the traditional approaches.

The Digital Transformation of Cars

“…In the complex and dynamic IoV environment, efficient architecture and resource allocation algorithms are designed to effectively manage the computing resources with different attributes and provide high-quality services. In addition, there are new algorithms based on IoV architecture that can be used to assist intelligent vehicles in solving traffic monitoring, road safety, and management problems in collaboration to help deal with a large amount of data in cloud computing, which will also be applied to ordinary cars, thus accelerating the construction of intelligent transportation [14].…”

5G Wireless Networks in the Future Renewable Energy Systems

“…Moreover, an additional discussion is needed here concerning the field where the bigger opportunity for 5G emerges, which is in the Internet of Vehicles (IoV) market Tufail et al, 2021). It goes without saying that communication improvement in charging stations or among charging stations, as well as in vehicles and between vehicles and other objects might have a favorable impact on the development of the renewable energy (Li et al, 2020;Rajper and Albrecht, 2020;Savari et al, 2020).…”

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

“…There are different algorithms and solutions for traffic management systems architecture [59][60][61]. Most of them use video cameras attached to masts or traffic light poles to analyze the traffic [36,62].…”