A comprehensive survey on edge data integrity verification: Fundamentals and future trends
Recent advances in edge computing (EC) have pushed cloud-based data caching services
to edge, however, such emerging edge storage comes with numerous challenging and …
to edge, however, such emerging edge storage comes with numerous challenging and …
A federated multi-agent deep reinforcement learning for vehicular fog computing
Vehicular fog computing is an emerging paradigm for delay-sensitive computations. In this
highly dynamic resource-sharing environment, optimal offloading decision for effective …
highly dynamic resource-sharing environment, optimal offloading decision for effective …
An overview of VANET vehicular networks
A Hozouri, A Mirzaei, S RazaghZadeh… - arXiv preprint arXiv …, 2023 - arxiv.org
Today, with the development of intercity and metropolitan roadways and with various cars
moving in various directions, there is a greater need than ever for a network to coordinate …
moving in various directions, there is a greater need than ever for a network to coordinate …
A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks
Vehicular edge computing (VEC) is a potential field that distributes computational tasks
between VEC servers and local vehicular terminals, hence improve vehicular services. At …
between VEC servers and local vehicular terminals, hence improve vehicular services. At …
Reinforcement learning based tasks offloading in vehicular edge computing networks
S Cao, D Liu, C Dai, C Wang, Y Yang, W Zhang… - Computer Networks, 2023 - Elsevier
With the rapid development of autonomous and intelligent techniques, vehicles are currently
equipped with computation and communication modules for satisfying clients' on-vehicle …
equipped with computation and communication modules for satisfying clients' on-vehicle …
Adaptive service function chain scheduling in mobile edge computing via deep reinforcement learning
T Wang, J Zu, G Hu, D Peng - IEEE Access, 2020 - ieeexplore.ieee.org
MEC (Mobile Edge Computing) provides both IT service environment and cloud computation
on the edge of the network. This technology not only minimizes the end-to-end latency but …
on the edge of the network. This technology not only minimizes the end-to-end latency but …
A vehicular network–based intelligent transport system for smart cities
Smart cities and the Internet of Things have enabled the integration of communicating
devices for efficient decision-making. Notably, traffic congestion is one major problem faced …
devices for efficient decision-making. Notably, traffic congestion is one major problem faced …
A distributed task orchestration scheme in collaborative vehicular cloud edge networks
The next generation vehicular networks would be expected to support a wide array of cutting
edge applications concerning intelligent transportation system (ITS). Due to this reason, the …
edge applications concerning intelligent transportation system (ITS). Due to this reason, the …
Predictive analytics as a service for vehicle health monitoring using edge computing and AK-NN algorithm
S Vasavi, K Aswarth, TSD Pavan… - Materials Today …, 2021 - Elsevier
Smart logistics is a part of Industry 4.0. With the increased development of the technology in
the vehicle industry, the machine learning algorithms are applied on sensor data in order to …
the vehicle industry, the machine learning algorithms are applied on sensor data in order to …
Traffic incident detection based on dynamic graph embedding in vehicular edge computing
With a large of time series dataset from the Internet of Things in Ambient Intelligence-
enabled smart environments, many supervised learning-based anomaly detection methods …
enabled smart environments, many supervised learning-based anomaly detection methods …