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 …

Role of machine learning in resource allocation strategy over vehicular networks: a survey

I Nurcahyani, JW Lee - Sensors, 2021 - mdpi.com
The increasing demand for smart vehicles with many sensing capabilities will escalate data
traffic in vehicular networks. Meanwhile, available network resources are limited. The …

Extensible conditional privacy protection authentication scheme for secure vehicular networks in a multi-cloud environment

J Cui, X Zhang, H Zhong, J Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With an increasing number of cloud service providers (CSPs), research works on multi-cloud
environments to provide solutions to avoid vendor lock-in and deal with the single-point …

Machine learning-based workload orchestrator for vehicular edge computing

C Sonmez, C Tunca, A Ozgovde… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) vision encompasses a wide range of novel intelligent highway
scenarios that rely on vehicles with an ever-increasing degree of autonomy and the prospect …

Low-latency vehicular edge: A vehicular infrastructure model for 5G

V Balasubramanian, S Otoum, M Aloqaily… - … Modelling Practice and …, 2020 - Elsevier
With 5G network services around the corner, vehicular cloud networks providing
computation capabilities have taken precedence over traditional costly cloud solutions …

Internet of Vehicles (IoV): A survey of challenges and solutions

JA Fadhil, QI Sarhan - 2020 21st International Arab …, 2020 - ieeexplore.ieee.org
The technological revolution of the Internet of Things (IoT) increased the number of objects
(eg, vehicles) connected to the Internet, making our lives easier, safer, and smarter. Putting …

UAV cluster-based video surveillance system optimization in heterogeneous communication of smart cities

Y Jin, Z Qian, W Yang - IEEE Access, 2020 - ieeexplore.ieee.org
Video surveillance system is the integration of computers, networks, communications, and
video CODEC, etc. Because of its distributed architecture, parallel image processing and …

ASXC Approach: A Service-X Cost Optimization Strategy Based on Edge Orchestration for IIoT

MS Mekala, G Dhiman, JH Park… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Most computation-intensive industry applications and servers encounter service-reliability
challenges due to the limited resource capability of the edge. Achieving quality data fusion …

Autonomous vehicles: Resource allocation, security, and data privacy

BP Nayak, L Hota, A Kumar, AK Turuk… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular Ad-hoc Network (VANET) is a technology of importance for the Intelligent
Transportation System, which provides safe and comfortable driving, infotainment, traffic …

Vehicular clouds leveraging mobile urban computing through resource discovery

RI Meneguette, A Boukerche - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Vehicles are integral elements of urban computing and urban analytics, providing sensed
data and thus being closely related to the exchange and gathering of a massive quantity of …