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.
Highlights
Our dependency on the Internet has increased significantly over the last two decades.This transformative technology has empowered accessibility to information and a myriad of services with a few clicks
We demonstrate the use of an efficient communication architecture (MC) to realize the concept of the Internet of Vehicles (i.e., IoV)
The moisture computing (MC) tackles the drawbacks of having an infrastructure too close to the end devices, i.e., in the case of the mobile edge computing (MEC), and deploying an infrastructure too far from the end devices, i.e., in the case of cloud computing
Summary
Our dependency on the Internet has increased significantly over the last two decades. Fog/mobile edge computing (i.e., FEC, MEC) reduces the latency but implicates cost, distributed resource management, reliability, congestion control, performance degradation for dense networks, and mobility issues [9]. 4. Gap Four [11]: SDN/NFV and fog computing-based approaches provide better QoS requirements for IoV applications, task offloading to MEC servers can degrade performance with regards to latency, especially in dense networks. (a) minimize latency overhead; (b) cover a wide geographical area to deliver the required information and services, such as collision or congestion updates, to the drivers promptly; (c) mitigate shortcomings of existing approaches, i.e., Cloud Computing (centralized computing) and Edge Computing (distributed computing), by placing the computing infrastructure at an appropriate distance from the UE to give better latency in various scenarios; (d) reduce the infrastructure-related cost through the deployment of a middle layer hardware.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
