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2020
IEEE Signal Processing Magazine
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It assigns disjoint sets of time slots to
vehicles moving in opposite directions
and to road side units and reduces trans-
mission collisions on the control chan-
nel caused by node mobility. ...
An integer nonlinear program-
ming optimization model is proposed
for video bit-rate selection to jointly
maximize the quality of experience of
clients and proportional fairness of the
bit-rate allocation ...
doi:10.1109/msp.2019.2959635
fatcat:si7hd7rirrhc7nbjle3ru6dyby
Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular Communications and Networking
[article]
2021
arXiv
pre-print
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The literatures relevant to each of the scenarios are compared from the perspective of energy optimization (e.g., with respect to resource allocation, workload scheduling, routing design, traffic control ...
There has been an upsurge of interest to develop the green IoV towards sustainable vehicular communication and networking in the 6G era. ...
For example, for battery-enabled road side units (RSUs), the energy consumption can be reduced if the RSU communicates to a vehicle with shorter distance. ...
arXiv:2108.11879v1
fatcat:l3fidzspwbhi5mmw55dds7vddu
Table of Contents
2021
IEEE Transactions on Vehicular Technology
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Ben-Othman 13174 Joint Road Side Units Selection and Resource Allocation in Vehicular Edge Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Chen 13047 Reinforcement Learning for Joint Optimization of Communication and Computation in Vehicular Networks . . . . . . . . . . . ...
doi:10.1109/tvt.2021.3128122
fatcat:m76xnufupvde5b73yvrnzf2xlq
Exploiting Mobile Edge Computing for Enhancing Vehicular Applications in Smart Cities
2019
Sensors
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Mobile edge computing (MEC) has been recently proposed to bring computing capabilities closer to mobile endpoints, with the aim of providing low latency and real-time access to network information via ...
In this paper, we explore existing architecture proposals for integrating MEC in vehicular environments, which would allow the evolution of the next generation ITS in smart cities. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s19051073
fatcat:fpznubdu5fevpbkhhrkxpbupzy
6G Internet of Things: A Comprehensive Survey
2021
IEEE Internet of Things Journal
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2021 pre-print arXiv:2108.04973v1 fatcat:akarrhkskzbj3ff5g7otyo6yfy
of Things, Vehicular Internet of Things and Autonomous Driving, Unmanned Aerial Vehicles, Satellite Internet of Things, and Industrial Internet of Things. ...
The sixth generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) towards a future of fully intelligent and autonomous ...
We believe our timely work will shed valuable light on the research of the 6G-IoT integration topics as well as motivate researchers and stakeholders to augment the research efforts in this promising area ...
doi:10.1109/jiot.2021.3103320
fatcat:fgm4ndqp6napjlt3z4ikthdsfy
Towards a Novel Air–Ground Intelligent Platform for Vehicular Networks: Technologies, Scenarios, and Challenges
2021
Smart Cities
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., Road Side Units—RSUs, 5G Base Stations—5G BS) can only serve a reduced number of Vehicular Users (VUs), due to short coverage ranges and resource shortage. ...
In order to satisfy the stringent requirements of new vehicular applications and services, Edge Computing (EC) is one of the most promising technologies when integrated into the Vehicular Networks (VNs ...
With the integration of modernized technologies such as IoT and various new communication modes, including Vehicle-to-Vehicle (V2V), Vehicle-to-Road Side Units (V2R), Vehicle-to-Infrastructure of Cellular ...
doi:10.3390/smartcities4040078
fatcat:yzavo6rmlrfjzaz4364oxmwvzi
A Pre-Allocation Design for Cost Minimization and Delay Constraint in Vehicular Offloading System
[article]
2019
arXiv
pre-print
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to the application of Mobile Edge Computing (MEC). ...
To accommodate exponentially increasing traffic demands of vehicle-based applications, operators are utilizing offloading as a promising technique to improve quality of service (QoS), which gives rise ...
Mobile Edge Computing System Typically, a mobile edge computing system involves several vehicles and road side units. ...
arXiv:1911.09316v1
fatcat:kjouej7htnc33jqhovbjezlj4e
IEEE Access Special Section Editorial: Artificial Intelligence (AI)-Empowered Intelligent Transportation Systems
2021
IEEE Access
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In the article "A distributed network intrusion detection system for distributed denial of service attacks in vehicular 69492 This work is licensed under a Creative Commons Attribution 4.0 License. ...
How can AI be integrated with ITS and function well in dynamic vehicular network scenarios? ...
He is currently a Full Professor with the College of Computer Science, Chongqing University, Chongqing, China. He has published over 100 articles, including 20 in IEEE TRANSACTIONS. ...
doi:10.1109/access.2021.3074996
fatcat:dfyrghfswff6vmdlpa55jxtkjm
The Fog Computing Paradigm: Scenarios and Security Issues
2014
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems
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Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. ...
As an example, we study a typical attack, man-in-the-middle attack, for the discussion of security in Fog computing. ...
Wireless access points like WiFi, 3G, road-side units and smart traffic lights are deployed along the roads. ...
doi:10.15439/2014f503
dblp:conf/fedcsis/StojmenovicW14
fatcat:br4duwuewbhy3melxerzjtdx4y
Combining Capital and Operating Expenditure Costs in Vehicular Roadside Unit Placement
2017
IEEE Transactions on Vehicular Technology
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Roadside infrastructure is a key component of these systems that will eventually support various applications such as road safety, transportation services, infotainment, and in-vehicle Internet access. ...
Vehicular ad-hoc networks will be the next step towards intelligent transportation systems. ...
Road-Side Unit Placement in VANETs This thesis focuses on the problem of roadside unit (RSU) placement and configuration in vehicular networks. ...
doi:10.1109/tvt.2017.2665480
fatcat:ns3hfxcpz5amhobak7komulcui
Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions
[article]
2017
arXiv
pre-print
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Firstly, the motivations and challenges for integration of space-air-ground networks are reviewed. Secondly, a software defined network architecture with a layered structure is presented. ...
This article proposes a software defined space-air-ground integrated network architecture for supporting diverse vehicular services in a seamless, efficient, and cost-effective manner. ...
As a matter of fact, Project Loon initiated by Google aims to leverage high-altitude balloons for broadband services in remote locations, and Facebook attempts to deploy solar-powered drones to provide ...
arXiv:1703.02664v2
fatcat:fad4uyyyrnfx7mz2tuikycwlzm
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
2022
IEEE Access
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Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. ...
More importantly, associated with free mobility, dynamic channels, and distributed services, the MEC challenges that can be solved by different kinds of RL algorithms are identified, followed by how they ...
On city roads with MEC-enabled traffic lights, for large-scale vehicular networks, static MEC servers, vehicular MEC servers, and static and vehicular MEC servers are inevitable for handling the increased ...
doi:10.1109/access.2022.3183647
fatcat:pd5z6q4innd5jl25g4r7b4nq3i
IEEE Transactions on Green Communications and Computing: New Research Scope
2020
IEEE Transactions on Green Communications and Networking
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The study in [item 16) in the Appendix] presented an optimal placement strategy of Road Side Units (RSUs) which are powered by conventional grid and solar power. ...
Besides the topics we discuss above, the scope of the area has been broadened to include latest trends with potential impact on green communications and computing including cloud-edge cooperative computing ...
He is currently a Full Professor with the Department of Informatics, University of Oslo, Oslo, Norway. ...
doi:10.1109/tgcn.2020.3032213
fatcat:hurexxokhneu5a26lsqley2iku
Smart Roads: An Overview of What Future Mobility Will Look Like
2020
Infrastructures
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Consequently, a different perspective is now arising when dealing with road infrastructures, aiming to simplify and improve efficiency and maintenance of the existing roads, increase the life cycle of ...
This new approach introduces the so-called "Smart Roads," i.e., road infrastructures capable of communicating with vehicles and self-monitoring fundamental perspectives concerning driverless vehicles and ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/infrastructures5120107
fatcat:3vsmttegajf5nbwjrogjorxsq4
Data Offloading in the Internet of Vehicles Using a Hybrid Optimization Technique
2022
Intelligent Automation and Soft Computing
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The main problem with the IoV is that it generates enormous data which is offloaded randomly during the journey. This data exceeds the memory of the edge or road side unit (RSU) devices. ...
In recent times, all smart vehicles are developed with IoT devices. These devices communicate with a radio access unit (RAU) at road side. ...
[13] proposed a dynamic offloading method for the uplink transmission from vehicles to road side unit (RSU) in the IoV network. ...
doi:10.32604/iasc.2022.020896
fatcat:sz4lgji32bdr5a444j4rr5etie
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