Results 41 to 50 of about 2,179 (155)

Collaborative Vehicular Edge Computing Towards Greener ITS

open access: yesIEEE Access, 2020
In order to achieve a greener intelligent transport system (ITS), an efficient collaboration between vehicles is required to manage computation task processing with low latency.
Su Buda   +5 more
doaj   +1 more source

Dynamic Vehicle Edge Task Offloading Method Based on Air-Ground Collaboration [PDF]

open access: yesJisuanji gongcheng
To optimize Quality of Service (QoS), Mobile Edge Computing (MEC) has been deeply integrated into the Internet of Vehicle (IoV) to provide geographically proximal computing resources for vehicles, thereby reducing task processing latency and energy ...
CUI Mengmeng, SHI Jingyan, XIANG Haolong
doaj   +1 more source

Task migration with deadlines using machine learning-based dwell time prediction in vehicular micro clouds

open access: yesHigh-Confidence Computing
Edge computing is becoming ever more relevant to offload compute-heavy tasks in vehicular networks. In this context, the concept of vehicular micro clouds (VMCs) has been proposed to use compute and storage resources on nearby vehicles to complete ...
Ziqi Zhou   +5 more
doaj   +1 more source

Offloading Edge Vehicular Services in Realistic Urban Environments

open access: yesIEEE Access, 2020
The imminent deployment of 5G and the rapid development of multi-access edge computing standards are demanding advances in terms of vehicular low latency offloading design and modelling proposals.
Katja Gilly   +3 more
doaj   +1 more source

Efficient Collaborative Edge Computing for Vehicular Network Using Clustering Service

open access: yesNetwork
Internet of Vehicles applications are known to be critical and time-sensitive. The value proposition of edge computing comprises its lower latency, advantageous bandwidth consumption, privacy, management, efficiency of treatments, and mobility, which aim
Ali Al-Allawee   +2 more
doaj   +1 more source

Enhancing the User Experience in Vehicular Edge Computing Networks: An Adaptive Resource Allocation Approach

open access: yesIEEE Access, 2019
Mobile edge computing (MEC) has been developed as a key technique to handle the explosive computation demands of vehicles. However, it is non-trivial to realize high-reliable and low-latency vehicular requirements among distributed and capacity ...
Xiaoke Sun   +3 more
doaj   +1 more source

What If VEC Is Moving: Probabilistic Model of Task Execution Through Offloading in Vehicular Computing Environments

open access: yesIEEE Access
Various computing approaches within vehicular networks, such as vehicular edge computing (VEC) and cloud computing, have been suggested to facilitate task offloading, aiming to improve user satisfaction.
Asmaa Ibrahim, Bassem Mokhtar
doaj   +1 more source

Can Vehicular Cloud Replace Edge Computing?

open access: yes2024 IEEE Wireless Communications and Networking Conference (WCNC)
Edge computing (EC) consists of deploying computation resources close to the users, thus enabling low-latency applications, such as augmented reality and online gaming. However, large-scale deployment of edge nodes can be highly impractical and expensive. Besides EC, there is a rising concept known as Vehicular Cloud Computing (VCC). VCC is a computing
Patanè, Rosario   +3 more
openaire   +2 more sources

Task-oriented collaborative computing scheme for delay-constrained vehicular networks

open access: yesAlexandria Engineering Journal
With the rapid development of vehicular edge computing networks, the massive amount of real-time data processing raises high demands on the computing capacity and energy efficiency of vehicles.
Xuguang Chai   +4 more
doaj   +1 more source

Research on heterogeneous radio access and resource allocation algorithm in vehicular fog computing

open access: yes物联网学报, 2019
With the development of intelligent transportation and the constant emergence of new vehicular on-board applications,such as automatic driving,intelligent vehicular interaction and safety driving.It is difficult for an independent vehicle to run a wide ...
Kai XIONG   +3 more
doaj   +2 more sources

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