Advanced Driver Assistance Systems (ADAS) have been proposed as an alternative to driverless vehicles to provide support for automotive vehicle decisions. As a significant driving force for ADAS, the Augmented Reality (AR) provides comprehensive location-based content services for in-vehicle consumers. With the increase in request for information sharing, the current stand-alone mode of ADAS needs a shift to the multi-user sharing mode. In this paper, to address the high mobility and real-time requirements of ADAS in 5G environments, and also to address the resource orchestration and service management of big data in intelligent transportation systems, we integrate the Information-Centric Network (ICN) and the Network Function Virtualization (NFV) with ADAS to support an efficient AR-assisted content sharing and distribution. This integration eliminates the imbalance between the content requests and the resource limitation by splitting the virtual resources and providing on-demand network and resource slicing in ADAS. We propose an incentive trading model for assistance content caching services and also propose a novel mechanism for optimal content cache allocation. Our extensive evaluation confirms that our proposed mechanism outperforms the past literature in terms of the cache hit ratio and latency.
- Augmented reality (AR)
- driver assistance
- information-centric network (ICN)
- Internet of Vehicles (IoV)
- network function virtualization (NFV)
Li, J., Wu, J., Xu, G., Li, J., Zheng, X., & Jolfaei, A. (2020). Integrating NFV and ICN for advanced driver assistance systems. IEEE Internet of Things Journal, 7(7), 5861-5873. https://doi.org/10.1109/JIOT.2019.2953988