[HTML][HTML] Attacks and defences on intelligent connected vehicles: A survey

M Dibaei, X Zheng, K Jiang, R Abbas, S Liu… - Digital Communications …, 2020 - Elsevier
Intelligent vehicles are advancing at a fast speed with the improvement of automation and
connectivity, which opens up new possibilities for different cyber-attacks, including in-vehicle …

[HTML][HTML] State of data platforms for connected vehicles and infrastructures

KL Lim, J Whitehead, D Jia, Z Zheng - Communications in transportation …, 2021 - Elsevier
The continuing expansion of connected and electro-mobility products and services has led
to their ability to rapidly generate very large amounts of data, leading to a demand for …

Distributed federated learning for ultra-reliable low-latency vehicular communications

S Samarakoon, M Bennis, W Saad… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, the problem of joint power and resource allocation (JPRA) for ultra-reliable low-
latency communication (URLLC) in vehicular networks is studied. Therein, the network-wide …

Deep learning empowered task offloading for mobile edge computing in urban informatics

K Zhang, Y Zhu, S Leng, Y He… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Led by industrialization of smart cities, numerous interconnected mobile devices, and novel
applications have emerged in the urban environment, providing great opportunities to …

Federated learning for ultra-reliable low-latency V2V communications

S Samarakoon, M Bennis, W Saad… - 2018 IEEE global …, 2018 - ieeexplore.ieee.org
In this paper, a novel joint transmit power and resource allocation approach for enabling
ultra-reliable low-latency communication (URLLC) in vehicular networks is proposed. The …

Data offloading techniques through vehicular ad hoc networks: A survey

H Zhou, H Wang, X Chen, X Li, S Xu - IEEE Access, 2018 - ieeexplore.ieee.org
Recently, for satisfying users' various mobile Internet service requests for data exchange
anytime and anywhere even in their moving vehicles, the generated mobile data traffic has …

An efficient task offloading scheme in vehicular edge computing

S Raza, W Liu, M Ahmed, MR Anwar, MA Mirza… - Journal of Cloud …, 2020 - Springer
Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

MEC-assisted end-to-end latency evaluations for C-V2X communications

M Emara, MC Filippou, D Sabella - 2018 European conference …, 2018 - ieeexplore.ieee.org
The efficient design of fifth generation (5G) mobile networks is driven by the need to support
the dynamic proliferation of several vertical market segments. Considering the automotive …

Federated offloading scheme to minimize latency in MEC-enabled vehicular networks

H Wang, X Li, H Ji, H Zhang - 2018 IEEE Globecom Workshops …, 2018 - ieeexplore.ieee.org
The vehicular networks with mobile edge computing (MEC) provide a promising paradigm to
meet the explosive vehicular computing demands. To further reduce the total latency and …

Enhancing video streaming in vehicular networks via resource slicing

H Khan, S Samarakoon… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is a key enabler that connects vehicles to
neighboring vehicles, infrastructure and pedestrians. In the past few years, multimedia …