Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Computation offloading and resource allocation in MEC-enabled integrated aerial-terrestrial vehicular networks: A reinforcement learning approach

N Waqar, SA Hassan, A Mahmood… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …

A survey on computation offloading and service placement in fog computing-based IoT

K Gasmi, S Dilek, S Tosun, S Ozdemir - the Journal of Supercomputing, 2022 - Springer
In recent years, fog computing has emerged as a computing paradigm to support the
computationally intensive and latency-critical applications for resource limited Internet of …

Fusion of engineering insights and emerging trends: Intelligent urban traffic management system

AA Ouallane, A Bakali, A Bahnasse, S Broumi… - Information Fusion, 2022 - Elsevier
Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

SDN-based real-time urban traffic analysis in VANET environment

J Bhatia, R Dave, H Bhayani, S Tanwar… - Computer …, 2020 - Elsevier
Accurate and real-time traffic flow prediction plays a central role for efficient traffic
management. Software Defined Networking (SDN) is one of the key concerns in networking …

Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy

D Soni, N Kumar - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Diversified technologies in internet of vehicles under intelligent edge computing

Z Lv, D Chen, Q Wang - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
To investigate the diversified technologies in Internet of Vehicles (IoV) under intelligent edge
computing, artificial intelligence, intelligent edge computing, and IoV are combined. Also, it …

Mobility aware blockchain enabled offloading and scheduling in vehicular fog cloud computing

A Lakhan, M Ahmad, M Bilal, A Jolfaei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of vehicular Internet of Things (IoT) applications, such as E-Transport,
Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …

Deep reinforcement learning for intelligent internet of vehicles: An energy-efficient computational offloading scheme

Z Ning, P Dong, X Wang, L Guo… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The emerging vehicular services call for updated communication and computing platforms.
Fog computing, whose infrastructure is deployed in close proximity to terminals, extends the …

Quality of service optimization in an IoT-driven intelligent transportation system

AH Sodhro, MS Obaidat, QH Abbasi… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
High mobility in ITS, especially V2V communication networks, allows increasing coverage
and quick assistance to users and neighboring networks, but also degrades the …