Blockchain for secure and efficient data sharing in vehicular edge computing and networks
The drastically increasing volume and the growing trend on the types of data have brought
in the possibility of realizing advanced applications such as enhanced driving safety, and …
in the possibility of realizing advanced applications such as enhanced driving safety, and …
Cooperative computation offloading and resource allocation for blockchain-enabled mobile-edge computing: A deep reinforcement learning approach
Mobile-edge computing (MEC) is a promising paradigm to improve the quality of
computation experience of mobile devices because it allows mobile devices to offload …
computation experience of mobile devices because it allows mobile devices to offload …
Blockchain-based multi-access edge computing for future vehicular networks: A deep compressed neural network approach
Vehicular ad hoc networks (VANETs) have become an important branch of future 6G smart
wireless communications. As an emerging key technology, multi-access edge computing …
wireless communications. As an emerging key technology, multi-access edge computing …
Many-to-many task offloading in vehicular fog computing: A multi-agent deep reinforcement learning approach
Vehicular fog computing (VFC) has emerged as a promising solution to mitigate vehicular
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …
A blockchain-based containerized edge computing platform for the internet of vehicles
Edge computing is promising to solve the latency issue in the Internet of Vehicles (IoV).
However, due to decentralization, traditional edge computing suffers in management …
However, due to decentralization, traditional edge computing suffers in management …
Blockchain-based VEC network trust management: A DRL algorithm for vehicular service offloading and migration
To meet the execution requirements of delay-sensitive services in vehicular edge computing
(VEC) networks, vehicular services need to be offloaded to edge computing nodes. For …
(VEC) networks, vehicular services need to be offloaded to edge computing nodes. For …
A learning-based approach for vehicle-to-vehicle computation offloading
Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …
Energy-efficient computation offloading in vehicular edge cloud computing
With the development of electrification, automation, and interconnection of the automobile
industry, the demand for vehicular computing has entered an explosive growth era. Massive …
industry, the demand for vehicular computing has entered an explosive growth era. Massive …
Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …