Adaptive offloading for time-critical tasks in heterogeneous internet of vehicles
With the recent development of wireless communication, sensing, and computing
technologies, Internet of Vehicles (IoV) has attracted great attention in both academia and …
technologies, Internet of Vehicles (IoV) has attracted great attention in both academia and …
Virtual edge: Exploring computation offloading in collaborative vehicular edge computing
Vehicular edge computing (VEC) has been a new paradigm to support computation-
intensive and latency-sensitive services. However, the scarcity of computational resources is …
intensive and latency-sensitive services. However, the scarcity of computational resources is …
Optimizing content dissemination for real-time traffic management in large-scale internet of vehicle systems
As an application of “smart transport” for Internet of Things, Internet of Vehicle (IoV) has
emerged as a new research field based on vehicular ad hoc networks (VANETs). With the …
emerged as a new research field based on vehicular ad hoc networks (VANETs). With the …
Contract-based computing resource management via deep reinforcement learning in vehicular fog computing
J Zhao, M Kong, Q Li, X Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle fog computing (VFC) is proposed as a solution that can significantly reduce the task
processing overload of base station during the peak time, where the vehicle as a fog node …
processing overload of base station during the peak time, where the vehicle as a fog node …
[HTML][HTML] An overview of fog data analytics for IoT applications
With the rapid growth in the data and processing over the cloud, it has become easier to
access those data. On the other hand, it poses many technical and security challenges to the …
access those data. On the other hand, it poses many technical and security challenges to the …
[HTML][HTML] Secure and privacy-preserving intrusion detection and prevention in the internet of unmanned aerial vehicles
In smart cities, unmanned aerial vehicles (UAVS) play a vital role in surveillance, monitoring,
and data collection. However, the widespread integration of UAVs brings forth a pressing …
and data collection. However, the widespread integration of UAVs brings forth a pressing …
Deep learning in edge of vehicles: Exploring trirelationship for data transmission
Currently, vehicles have the abilities to communicate with each other autonomously. For
Internet of Vehicles (IoV), it is urgent to reduce the latency and improve the throughput for …
Internet of Vehicles (IoV), it is urgent to reduce the latency and improve the throughput for …
Blockchain-based reputation management for task offloading in micro-level vehicular fog network
With the widespread adoption of the internet of things (IoT) technologies towards building a
smart city, connected devices often offload computation tasks to nearby edge locations …
smart city, connected devices often offload computation tasks to nearby edge locations …
AI-enabled reliable channel modeling architecture for fog computing vehicular networks
Artificial intelligence (AI)-driven fog computing (FC) and its emerging role in vehicular
networks is playing a remarkable role in revolutionizing daily human lives. Fog radio access …
networks is playing a remarkable role in revolutionizing daily human lives. Fog radio access …
FedDOVe: A Federated Deep Q-learning-based Offloading for Vehicular fog computing
Abstract Connected Autonomous Vehicles (CAVs) aim to provide various smart
transportation applications which have computation-intensive tasks. The vehicles having …
transportation applications which have computation-intensive tasks. The vehicles having …