The increasing number of smart vehicles and their resource hungry applications pose new challenges in terms of computation and processing for providing reliable and efficient …
The emergence of computation-intensive and delay-sensitive vehicular applications poses a great challenge for individual vehicles with limited computation resources. Mobile edge …
S Talal, WSM Yousef… - … Conference on Intelligent …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that approximates cloud services near vehicles with the assistance of offloading. Data and task offloading have aided vehicles …
F Gu, X Yang, X Li, H Deng - Electronics, 2022 - mdpi.com
With the advances in wireless communications and the Internet of Things (IoT), various vehicular applications such as image-aided navigation and autonomous driving are …
X Gu, G Zhang - Computer Communications, 2021 - Elsevier
The demanding computing capacity of emerging vehicular applications has emerged as a challenge in Internet of vehicles (IoVs). Multi-access edge computing (MEC) can significantly …
Abstract Mobile Edge Computing (MEC) is a promising solution to improve vehicular services through offloading computation to cloud servers in close proximity to mobile …
J Sun, Q Gu, T Zheng, P Dong, A Valera, Y Qin - Ieee Access, 2020 - ieeexplore.ieee.org
Resource-intensive applications on smart vehicles is posing difficulties to the use of traditional cloud computing for computation offloading in vehicular networks. In particular …
S Liu, J Tian, C Zhai, T Li - Digital Communications and Networks, 2022 - Elsevier
Abstract Vehicular Edge Computing (VEC) is a promising technique to accommodate the computation-intensive and delay-sensitive tasks through offloading the tasks to the …
F Li, Y Lin, N Peng, Y Zhang - 2020 IEEE 20th International …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technology that sinks cloud computing down to the edge of the cellular network, so as to reduce latency and network congestion. In this …