Building Transmission Backbone for Highway Vehicular Networks: Framework and Analysis

Li, Changle; Zhang, Yao; Luan, Tom H.; Fu, Yuchuan

doi:10.1109/tvt.2018.2844471

Cited by 19 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Constant modifications of network topology in highways with no fixed structure creates a challenging technical issue. Frequent interruptions are also an obstacle in V2V communications due to diverse velocities of vehicles and short connection times for vehicles in opposite directions [203]. According to Figure 7(c) and Table 4, the scenario most used by the works to carry out offloading experiments was the highway [100], [46], [149].…”

Section: B: Highwaymentioning

confidence: 99%

Computation Offloading for Vehicular Environments: A Survey

et al. 2020

View full text Add to dashboard Cite

With significant advances in communication and computing, modern day vehicles are becoming increasingly intelligent. This gives them the ability to contribute to safer roads and passenger comfort through network devices, cameras, sensors, and computational storage and processing capabilities. However, to run new and popular applications, and to enable vehicles operating autonomously requires massive computational resources. Computational resources available with the current day vehicles are not sufficient to process all these demands. In this situation, other vehicles, edge servers, and servers in remote data centers can help the vehicles by lending their computing resources. However, to take advantage of these computing resources, computation offloading techniques have to be leveraged to transfer tasks or entire applications to run on other devices. Such computation offloading can lead to improved performance and Quality of Service (QoS) for applications and for the network. However, computation offloading in a highly dynamic environment such as vehicular networks is a major challenge. Therefore, this survey aims to review and organize the computation offloading literature in vehicular environments. In addition, we demystify some concepts, propose a taxonomy with the most important aspects and classify most works in the area according to each category. We also present the main tools, scenarios, subjects, strategies, objectives, etc., used in the works. Finally, we present the main challenges and future directions to guide future research in this active research area.

show abstract

Section: B: Highwaymentioning

confidence: 99%

Computation Offloading for Vehicular Environments: A Survey

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In order to perform specific actions, some nodes at intersections and within road segments are selected as intersection backbone nodes (IBNs) and road segment backbone nodes (RBNs), respectively. With IBNs and RBNs, we can build one backbone link along each road segment for data transmission, by which the channel contention can be reduced [39], [40].…”

Section: Road Weight Evaluation Schemementioning

confidence: 99%

An Efficient and Reliable QoF Routing for Urban VANETs With Backbone Nodes

et al. 2019

View full text Add to dashboard Cite

Because of the dynamic topology, high mobility of nodes, and complicated channel environments in urban areas, existing routings methods are susceptible to frequent link interruptions and channel congestions. To address these issues, a Quality of Forwarding (QoF)-based reliable geographic routing (QFRG) in urban vehicular ad hoc networks (VANETs) is proposed, where the best route is determined by guaranteeing the QoF and satisfying the link reliability requirement. Two theoretical models for QoF and link reliability analysis are first presented. Taking into consideration the transmission cost and the packet delivery ratio, the QoF is, then, employed to provide the quantitative evaluation to the road segments through the presented road weight evaluation (RWE) scheme, which takes into account the impact of the relative position of links on the network performance. Next, to accommodate the network scale of an urban city, the city map is divided into smaller grid zones. Based on the position of the destination, different transmission strategies are presented for packet forwarding. The extensive simulations demonstrate our protocol's superiority in both transmission delay and packet delivery ratio compared with the existing schemes. INDEX TERMS Vehicular ad hoc networks, quality of forwarding, reliability, routing protocol.

show abstract

“…The collaborative driving, by sharing the information among vehicles using the inter-vehicular or vehicle-to-vehicle (V2V) communications 2 , can extend the single-car intelligence to multi-car intelligence. The multi-car intelligence can significantly reduce the computation load and cost on hardware compared with its single-car counterpart, but also significantly improve the safety and performance of driving.…”

Section: Introductionmentioning

confidence: 99%

“…To enable the collaborative driving relies on the vehicular ad hoc networks (VANETs) among AVs. Although been researched for decades, the conventional VANETs mainly focus on delivering conventional status update or infotainment messages, which have not considered much on the features of AVs and their demand on collaborative computing and driving [2]. In conventional VANETs, vehicles are pure mechanical systems without much intelligence; the communications in VANETs thus do not consider any software and computing advantages of vehicles.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Vehicular Networks: Perspective and Open Issues

Luan¹,

Zhang²,

Cai³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

The vehicular ad hoc networks (VANETs) 1 have been researched for over twenty years. Although being a fundamental communication approach for vehicles, the conventional VANETs are challenged by the newly emerged autonomous vehicles (AVs) which introduce new features and challenges on communications. In the meantime, with the recent advances of artificial intelligence and 5G cellular networks, how should the fundamental framework of VANET evolve to utilize the new technologies? In this article, we reconsider the problem of vehicleto-vehicle communications when the network is composed of AVs. We discuss the features and specific demands of AVs and how the conventional VANETs should adapt to fit them.

show abstract

Building Transmission Backbone for Highway Vehicular Networks: Framework and Analysis

Cited by 19 publications

References 25 publications

Computation Offloading for Vehicular Environments: A Survey

Computation Offloading for Vehicular Environments: A Survey

An Efficient and Reliable QoF Routing for Urban VANETs With Backbone Nodes

Autonomous Vehicular Networks: Perspective and Open Issues

Contact Info

Product

Resources

About