Named data networking architecture for internet of vehicles in the era of 5G

Abstract

Things are interconnected using information and communication technologies in smart cities, forming Internet of Things (IoT). The Internet of Vehicles (IoV) refers to an IoT application, where the urban vehicle fleet forms a worldwide network, using V2X (Vehicle-to-Everything) communications. The 5G is the new generation of cellular networks that will eliminate the bounds of bandwidth, performance, and latency limitations. IoV is one of the high-priority application domains for 5G. Among the under development IEEE Standard regarding 5G, the IEEE P1931.1 standard (named also Real-time Onsite Operations Facilitation (ROOF) Standard) seems to be very promising for IoV requirements. This paper proposes ROOFbased Named Data Vehicular Networking (RND − V n ), a named data networking (NDN) architecture for IoV. In addition to the proposal, we provide SeCrND n (Searchable Encryption for Content Retrieval in NDN), a searchable encryption technique for NDN content retrieval. Furthermore, we propose the intelligent Named Data Caching (iNDC), a machinelearning-based data caching technique for ROOF-based named data networking. The iNDC predicts the number of content requests, such that popular contents are kept as long as possible on roadside units. The proposed iNDC is also used to predict the storage capacity required by each roadside unit. A performance study was conducted to evaluate the performance of machine learning algorithms applied to iNDC. The results show that linear and ridge regressions are the most efficient in terms of content popularity prediction. To predict the capacity of new roadside units, iNDC provides better accuracy using k-Nearest Neighbors.

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

“…The selected caching nodes are assigned the probability of caching, which increases with the available load space. The study in Kaci and Rachedi 157 proposes NDN‐based networking architecture for IoV. The architecture, which is based on Real‐time Onsite Operations Facilitation (ROOF), 180 is composed of three levels (i.e., a Cloud level, a Fog level, and a ROOF level).…”

“…Kaci and Rachedi 157 Caching is improved by leveraging Fog computing, to extend the CS capacity of the RSU.…”

Intelligent passenger demand prediction‐based rerouting for comfort perception in public bus transport systems

“…Kaci and Rachedi 34 proposed a Real‐time Onsite Operations Facilitation (ROOF) standard‐based named vehicular data networking, named data networking architecture for IoV, also intelligent named data caching (iNDC), a machine learning‐based data caching technique for ROOF‐based named data networking. The iNDC predicts the number of content requests such that popular content is kept as long as possible on roadside units.…”

Secure Spectrum Access, Routing, and Hybrid Beamforming in an Edge-Enabled mmWave Massive MIMO CRN-Based Internet of Connected Vehicle (IoCV) Environments

“…A cognitive radio network (CRN) is an emerging technology for solving spectrum scarcity issues by sensing and utilizing unoccupied spectrums or spectrum holes, which also enhances spectral efficiency in the CRN [ 1 ]. Next-generation communication technologies such as 5G and 6G provide the connection for the Internet of Connected Vehicles (IoCV) (i.e., autonomous vehicles, self-driving cars) [ 2 , 3 ]. In the IoCV environment, efficient network management is performed by implementing the clustering of users [ 4 ].…”