A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution

AH Ganesh, B Xu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …

Architectural design alternatives based on cloud/edge/fog computing for connected vehicles

H Wang, T Liu, BG Kim, CW Lin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
As vehicles playing an increasingly important role in people's daily life, requirements on
safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can …

Internet of vehicles in big data era

W Xu, H Zhou, N Cheng, F Lyu, W Shi… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …

Integrated networking, caching, and computing for connected vehicles: A deep reinforcement learning approach

Y He, N Zhao, H Yin - IEEE transactions on vehicular …, 2017 - ieeexplore.ieee.org
The developments of connected vehicles are heavily influenced by information and
communications technologies, which have fueled a plethora of innovations in various areas …

Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading

K Zhang, Y Mao, S Leng, Y He… - IEEE vehicular …, 2017 - ieeexplore.ieee.org
Cloud-based vehicular networks are a promising paradigm to improve vehicular services
through distributing computation tasks between remote clouds and local vehicular terminals …

Vehicular fog computing: Enabling real-time traffic management for smart cities

Z Ning, J Huang, X Wang - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …

Computation resource allocation and task assignment optimization in vehicular fog computing: A contract-matching approach

Z Zhou, P Liu, J Feng, Y Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload
on the base station and reduce the processing delay during the peak time. The computation …

Offloading in internet of vehicles: A fog-enabled real-time traffic management system

X Wang, Z Ning, L Wang - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Fog computing has been merged with Internet of Vehicle (IoV) systems to provide
computational resources for end users, by which low latency can be guaranteed. In this …

Blockchain-based solutions to security and privacy issues in the internet of things

Y Yu, Y Li, J Tian, J Liu - IEEE Wireless Communications, 2018 - ieeexplore.ieee.org
IoT is leading a digital revolution in both academia and industry. It brings convenience to
people's daily lives; however, the issues of security and privacy of IoT become challenges …

Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …