Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach
The mobile edge computing (MEC) technology can simultaneously provide high-speed
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
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 …
A cooperative vehicle-infrastructure system for road hazards detection with edge intelligence
Road hazards (RH) have always been the cause of many serious traffic accidents. These
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …
Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture
In the intelligent transportation system (ITS), the vehicular fog computing network (VFCN)
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
A digital twin-assisted intelligent partial offloading approach for vehicular edge computing
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
ALPS: Achieving accuracy-aware location privacy service via assisted regions
Location search services (LSSs) provide convenience and enhanced functionality of
ubiquitous computing, but they lead to a new risk of private location data leakage. The …
ubiquitous computing, but they lead to a new risk of private location data leakage. The …
Energy efficient joint computation offloading and service caching for mobile edge computing: A deep reinforcement learning approach
Mobile Edge Computing (MEC) meets the delay requirements of emerging applications and
reduces energy consumption by pushing cloud functions to the edge of the networks …
reduces energy consumption by pushing cloud functions to the edge of the networks …
DRL-based computation offloading with queue stability for vehicular-cloud-assisted mobile edge computing systems
Computation offloading is considered as a promising method to improve computation
performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry …
performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry …
A traceable and revocable decentralized multi-authority privacy protection scheme for social metaverse
Intelligent identification of close friends is the mainstream approach to protect users' multi-
dimensional data in the social metaverse. It provides a fine-grained matching service for …
dimensional data in the social metaverse. It provides a fine-grained matching service for …
Adaptive multi-feature fusion via cross-entropy normalization for effective image retrieval
Multi-feature fusion has achieved gratifying performance in image retrieval. However, some
existing fusion mechanisms would unfortunately make the result worse than expected due to …
existing fusion mechanisms would unfortunately make the result worse than expected due to …