Results 11 to 20 of about 2,436 (255)

Virtual Edge: Exploring Computation Offloading in Collaborative Vehicular Edge Computing [PDF]

IEEE Access, 2021
Vehicular edge computing (VEC) has been a new paradigm to support computation-intensive and latency-sensitive services. However, the scarcity of computational resources is still a challenge.
Narisu Cha, Celimuge Wu, Tsutomu Yoshinaga, Yusheng Ji, Kok-Lim Alvin Yau   +4 more
doaj   +3 more sources

Joint communication and computing resource allocation in vehicular edge computing [PDF]

International Journal of Distributed Sensor Networks, 2019
The emergence of computation-intensive vehicle applications poses a significant challenge to the limited computation capacity of on-board equipments. Mobile edge computing has been recognized as a promising paradigm to provide high-performance vehicle ...
Jianan Sun, Qing Gu, Tao Zheng, Ping Dong, Yajuan Qin   +4 more
doaj   +2 more sources

Collaborative Vehicular Edge Computing Towards Greener ITS [PDF]

IEEE 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, Siri Guleng, Celimuge Wu, Jiefang Zhang, Kok-Lim Alvin Yau, Yusheng Ji   +5 more
doaj   +3 more sources

Evolutionary Algorithms for Edge Server Placement in Vehicular Edge Computing

IEEE Access
Vehicular Edge Computing (VEC) is a critical enabler for intelligent transportation systems (ITS). It provides low-latency and energy-efficient services by offloading computation to the network edge.
A. Surayya, Md Muzakkir Hussain, V. Dinesh Reddy, Ashu Abdul, Firoj Gazi   +4 more
doaj   +2 more sources

Vehicular Computation Offloading for Industrial Mobile Edge Computing [PDF]

IEEE Transactions on Industrial Informatics, 2021
Due to the limited local computation resource, industrial vehicular computation requires offloading the computation tasks with time-delay sensitive and complex demands to other intelligent devices (IDs) once the data is sensed and collected collaboratively.
Liang Zhao 0004, Kaiqi Yang 0002, Zhiyuan Tan 0001, Houbing Song, Ahmed Al-Dubai 0001, Albert Y. Zomaya, Xianwei Li 0002   +6 more
openaire   +3 more sources

Analysis of Mobile Edge Computing for Vehicular Networks [PDF]

Sensors, 2019
Vehicular ad-hoc Networks (VANETs) are an integral part of intelligent transportation systems (ITS) that facilitate communications between vehicles and the internet. More recently, VANET communications research has strayed from the antiquated DSRC standard and favored more modern cellular technologies, such as fifth generation (5G).
Lamb, Zachary W., Agrawal, Dharma P.
openaire   +4 more sources

An Intent-based Framework for Vehicular Edge Computing

2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2023
The rapid development of emerging vehicular edge computing (VEC) brings new opportunities and challenges for dynamic resource management. The increasing number of edge data centers, roadside units (RSUs), and network devices, however, makes resource management a complex task in VEC.
TianZhang He, Adel Nadjaran Toosi, Negin Akbari, Muhammed Tawfiqul Islam, Muhammad Aamir Cheema   +4 more
openaire   +2 more sources

Serverless Vehicular Edge Computing for the Internet of Vehicles

IEEE Internet Computing, 2023
Rapid growth in the popularity of smart vehicles and increasing demand for vehicle autonomy brings new opportunities for vehicular edge computing (VEC). VEC aims at offloading the time-sensitive computational load of connected vehicles to edge devices, e.g., roadside units. However, VEC offloading raises complex resource management challenges and, thus,
Faisal Alam, Adel Nadjaran Toosi, Muhammad Aamir Cheema, Claudio Cicconetti, Pablo Serrano 0001, Alexandru Iosup, Zahir Tari, Majid Sarvi   +7 more
openaire   +4 more sources

A Survey on Vehicular Cloud Network Security

IEEE Access, 2023
The novel Vehicular Cloud Network (VCN) is a close combination of Vehicular Ad hoc Network, Cloud Computing, and Edge Computing. However, VCN is facing the enormous challenge of security and privacy before it is generalized.
Junyi Deng, Jikai Deng, Peihao Liu, Huan Wang, Junjie Yan, Deru Pan, Jiahua Liu   +6 more
doaj   +1 more source

Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing [PDF]

IEEE Access, 2020
With the development of electrification, automation, and interconnection of the automobile industry, the demand for vehicular computing has entered an explosive growth era. Massive low time-constrained and computation-intensive vehicular computing operations bring new challenges to vehicles, such as excessive computing power and energy consumption ...
Xin Li, Yifan Dang, Mohammad Aazam, Xia Peng, Tefang Chen, Chunyang Chen   +5 more
openaire   +2 more sources