Abstract
By bringing the computation and storage resources close proximity to the mobile network edge, mobile edge computing (MEC) is a key enabling technology for satisfying the Internet of Vehicles (IoV) infotainment applications’ requirements, e.g., video streaming service (VSA). However, the explosive growth of mobile video traffic brings challenges for video streaming providers (VSPs). One known issue is that a huge traffic burden on the vehicular network leads to increasing VSP costs for providing VSA to mobile users (i.e., autonomous vehicles). To address this issue, an efficient resource sharing scheme between underutilized vehicular resources is a promising solution to reduce the cost of serving VSA in the vehicular network. Therefore, we propose a new VSA model based on the lower cost of obtaining data from vehicles and then minimize the VSP’s cost. By using existing data resources from nearby vehicles, our proposal can reduce the cost of providing video service to mobile users. Specifically, we formulate our problem as mixed integer nonlinear programming (MINP) in order to calculate the total payment of the VSP. In addition, we introduce an incentive mechanism to encourage users to rent its resources. Our solution represents a strategy to optimize the VSP serving cost under the quality of service (QoS) requirements. Simulation results demonstrate that our proposed mechanism is possible to achieve up to 21% and 11% cost-savings in terms of the request arrival rate and vehicle speed, in comparison with other existing schemes, respectively.
Highlights
With the rapid development of the Internet of Vehicles (IoV) and automated driving technologies, autonomous cars are one of the most advanced technologies in recent years
We extract all of the trips that traveled between Manhattan and JFK
We consider the time of request and time of pick-up to be the same, for which the pick-up time is sampled from 12 PM to 6 PM
Summary
With the rapid development of the Internet of Vehicles (IoV) and automated driving technologies, autonomous cars are one of the most advanced technologies in recent years. The VSP can bring popular video content into the MEC servers on edge networks in advance and deliver this content to mobile users directly through wireless communications. This alleviates the traffic burden of congested vehicular networks and delivers video content at a lower cost. Many vehicular computing resources are kept idle for long periods (e.g., in congested areas), and some vehicles store a large number of videos (i.e., TV series, frequently used content) while other vehicles are requesting similar content In this context, volunteer computing allows the MEC framework to exploit vehicle resources nearby to alleviate congested wireless communications in vehicular networks, and minimizing the VSP’s cost for delivering the content to mobile users. Conclusions and suggestions for future work are discussed in the concluding Section 7
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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.
