Loading [MathJax]/extensions/MathMenu.js
A Data Synchronization Incentive Scheme in Vehicular Digital Twin Network with Stackelberg Game | IEEE Conference Publication | IEEE Xplore

A Data Synchronization Incentive Scheme in Vehicular Digital Twin Network with Stackelberg Game


Abstract:

The evolving digital twin technology translates physical entities into the digital realm, allowing the exploration of abundant digital resources to optimize the task exec...Show More

Abstract:

The evolving digital twin technology translates physical entities into the digital realm, allowing the exploration of abundant digital resources to optimize the task execution of these physical entities. Real-time data synchronization between physical entities and their digital twins is essential for the effective functioning of digital twin systems. In this paper, we investigate the challenge of data synchronization in vehicular digital twin networks operating in open street scenarios, where multiple vehicles rely on cellular networks for continuous data synchronization with their digital twins. Given the contention for cellular bandwidth among vehicles, a coordination scheme is required to manage resource allocation. As vehicles are fully distributed driven by self-interests only, a game-theoretic approach is proposed that leverages a cloud center controller to guide the sharing of cellular resources among digital twins. An optimal incentive mechanism is introduced to encourage digital twins to adhere to the center's guidance, promoting global social welfare. Through extensive simulations, we demonstrate that the proposed scheme successfully motivates vehicles to follow the center's guidance, leading to efficient data synchronization and mutual benefit maximization.
Date of Conference: 24-27 June 2024
Date Added to IEEE Xplore: 25 September 2024
ISBN Information:

ISSN Information:

Conference Location: Singapore, Singapore

Funding Agency:


I. Introuction

The convergence of vehicular applications and multimedia services, facilitated by the internet of vehicles (10Vs) and wireless technologies, has the potential to enhance intelligent transportation and driving experiences [1]–[4]. However, their widespread use poses challenges for cloud-based networks, including meeting low-latency computing requirements due to long distances between vehicles and the cloud, and limited backhaul link capacity leading to network congestion during content delivery. Vehicular edge computing (VEC) has been proposed as a solution to address these challenges by extending cloud computation and caching to the network edge [5]. Lightweight edge servers deployed on roadside units (RSUs) provide high-quality computing and caching services to vehicles. With the rapidly evolving landscape of vehicular technology, vehicles are transforming into mobile computing and data hubs. The advent of self-driving technology demands intensive computing power and access to real-time road information. Similarly, the concept of vehicles as moving offices necessitates reliable broadband connections to cloud data depots. However, this transformation also presents challenges due to factors such as the mobility of vehicles, the dynamic nature of vehicular network systems, the variability of channel conditions and bandwidth, and the limited hardware resources of vehicles.

DT system. Vehicles can communicate effciently through DT on the cloud and perform complex artifcial intelligence algorithms to facilitate vehicle driving.

Contact IEEE to Subscribe

References

References is not available for this document.