EC-MOPSO: an edge computing-assisted hybrid cluster and MOPSO-based routing protocol for the Internet of Vehicles

2022 ◽  
Author(s):  
Melody Jamalzadeh ◽  
Mohsen Maadani ◽  
Mojdeh Mahdavi
Keyword(s):  
Routing Protocol ◽  
Edge Computing ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Hybrid Cluster

Capsule Network Distributed Learning with Multi-Access Edge Computing for the Internet of Vehicles

2021 ◽  
Vol 59 (8) ◽  
pp. 52-57
Author(s):  
Jie Xu ◽  
F. Richard Yu ◽  
Jingyu Wang ◽  
Qi Qi ◽  
Haifeng Sun ◽  
...  
Keyword(s):  
Distributed Learning ◽  
Edge Computing ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Multi Access

A Blockchain-based Containerized Edge Computing Platform for the Internet of Vehicles

2020 ◽  
pp. 1-1
Author(s):  
Laizhong Cui ◽  
Ziteng Chen ◽  
Shu Yang ◽  
Zhongxing Ming ◽  
Qi Li ◽  
...  
Keyword(s):  
Edge Computing ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Computing Platform

Mobile Edge Computing for the Internet of Vehicles: Offloading Framework and Job Scheduling

2019 ◽  
Vol 14 (1) ◽  
pp. 28-36 ◽  
Author(s):  
Jingyun Feng ◽  
Zhi Liu ◽  
Celimuge Wu ◽  
Yusheng Ji
Keyword(s):  
Job Scheduling ◽  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Internet Of Vehicles

scholarly journals Guest Editorial: AI-Empowered Mobile Edge Computing in the Internet of Vehicles

IEEE Network ◽  
2021 ◽  
Vol 35 (3) ◽  
pp. 72-73
Author(s):  
Jun Huang ◽  
Jalel Ben Othman ◽  
Shiqiang Wang ◽  
Ricky Y. K. Kwok ◽  
Victor C. M. Leung ◽  
...  
Keyword(s):  
Guest Editorial ◽  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Internet Of Vehicles

Message‐sensing classified transmission scheme based on mobile edge computing in the Internet of Vehicles

2020 ◽  
Author(s):  
Haitao Zhao ◽  
Yinyang Zhu ◽  
Jiawen Tang ◽  
Zhe Han ◽  
Gagangeet Singh Aujla
Keyword(s):  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Transmission Scheme ◽  
Internet Of Vehicles

scholarly journals Mobile Edge Computing for the Internet of Vehicles

2021 ◽  
pp. 47-64
Author(s):  
Yan Zhang
Keyword(s):  
Edge Computing ◽  
The Internet ◽  
Vehicular Communication ◽  
Internet Of Vehicles ◽  
Smart Vehicles ◽  
Delay Constraints ◽  
Communication Environment ◽  
Artificial Intelligence Technology ◽  
Physical Information ◽  
Computing Framework

AbstractThe advancement of cyber physical information has led to the pervasive use of smart vehicles while enabling various types of powerful mobile applications, which usually require high-intensity processing under strict delay constraints. Given their limited on-board computing capabilities, smart vehicles can offload these processing tasks to edge servers for execution. However, a highly dynamic topology, a complex vehicular communication environment, and edge node heterogeneity pose significant challenges in vehicular edge computing management. To address these challenges, in this chapter we investigate the characteristics of edge computing from both the application and service perspectives and introduce a hierarchical edge computing framework. Moreover, we leverage artificial intelligence technology to propose efficient task offloading and resource scheduling schemes.

Integrating Licensed and Unlicensed Spectrum in the Internet of Vehicles with Mobile Edge Computing

IEEE Network ◽  
2019 ◽  
Vol 33 (4) ◽  
pp. 48-53 ◽  
Author(s):  
Celimuge Wu ◽  
Xianfu Chen ◽  
Tsutomu Yoshinaga ◽  
Yusheng Ji ◽  
Yan Zhang
Keyword(s):  
Edge Computing ◽  
The Internet ◽  
Mobile Edge Computing ◽  
Unlicensed Spectrum ◽  
Internet Of Vehicles

scholarly journals Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3785
Author(s):  
Ali Tufail ◽  
Abdallah Namoun ◽  
Adnan Ahmed Abi Sen ◽  
Ki-Hyung Kim ◽  
Ahmed Alrehaili ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Traffic Monitoring ◽  
Edge Computing ◽  
Small Scale ◽  
The Internet ◽  
Cloud Infrastructure ◽  
Internet Of Vehicles ◽  
Smart Vehicles ◽  
Scale Data

Recently, the concept of combining ‘things’ on the Internet to provide various services has gained tremendous momentum. Such a concept has also impacted the automotive industry, giving rise to the Internet of Vehicles (IoV). IoV enables Internet connectivity and communication between smart vehicles and other devices on the network. Shifting the computing towards the edge of the network reduces communication delays and provides various services instantly. However, both distributed (i.e., edge computing) and central computing (i.e., cloud computing) architectures suffer from several inherent issues, such as high latency, high infrastructure cost, and performance degradation. We propose a novel concept of computation, which we call moisture computing (MC) to be deployed slightly away from the edge of the network but below the cloud infrastructure. The MC-based IoV architecture can be used to assist smart vehicles in collaborating to solve traffic monitoring, road safety, and management issues. Moreover, the MC can be used to dispatch emergency and roadside assistance in case of incidents and accidents. In contrast to the cloud which covers a broader area, the MC provides smart vehicles with critical information with fewer delays. We argue that the MC can help reduce infrastructure costs efficiently since it requires a medium-scale data center with moderate resources to cover a wider area compared to small-scale data centers in edge computing and large-scale data centers in cloud computing. We performed mathematical analyses to demonstrate that the MC reduces network delays and enhances the response time in contrast to the edge and cloud infrastructure. Moreover, we present a simulation-based implementation to evaluate the computational performance of the MC. Our simulation results show that the total processing time (computation delay and communication delay) is optimized, and delays are minimized in the MC as apposed to the traditional approaches.

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