Mobile edge intelligence and computing for the internet of vehicles
J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …
advancements in vehicular communications and networking. Meanwhile, the capability and …
Application management in fog computing environments: A taxonomy, review and future directions
The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …
environments in various domains. The IoT-enabled cyber-physical systems associated with …
Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory
Federated learning is an emerging machine learning technique that enables distributed
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
Blockchain for Internet of Things: A survey
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with
data-driven decision-making. However, intrinsic features of IoT result in a number of …
data-driven decision-making. However, intrinsic features of IoT result in a number of …
Towards federated learning in uav-enabled internet of vehicles: A multi-dimensional contract-matching approach
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
Edge caching and computation management for real-time internet of vehicles: An online and distributed approach
J Zhao, X Sun, Q Li, X Ma - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is expected to be an effective solution to meet the ultra-
low delay requirements of many emerging Internet of Vehicles (IoV) services by shifting the …
low delay requirements of many emerging Internet of Vehicles (IoV) services by shifting the …
Deep learning empowered task offloading for mobile edge computing in urban informatics
Led by industrialization of smart cities, numerous interconnected mobile devices, and novel
applications have emerged in the urban environment, providing great opportunities to …
applications have emerged in the urban environment, providing great opportunities to …
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 …
the environment and space limitations. Vehicular networks are widely considered to be a …
Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …
the computational capability of vehicles without relying on servers. Comparing with …