Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET

Luo, Guiyang; Zhou, Haibo; Cheng, Nan; Yuan, Quan; Li, Jinglin; Yang, Fangchun; Shen, Xuemin

doi:10.1109/tmc.2019.2953163

Cited by 123 publications

(40 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Edge computing could be distributed between the remote cloud and network edges so as to reduce the response time and could provide better services for VANETs [5]- [7], [9], [14]- [17]. Yu et al [6] studied the optimal deployment and dimensioning (ODD) problem of two diverse modes, i.e., the coupling mode (CRF), and the decoupling mode (DRF), respectively.…”

Section: Related Workmentioning

confidence: 99%

“…Recent years, the architecture integrating 5G and EC attracts increasingly interest of the researchers [2], [5], [9], [10], [13], [27]. Li et al [27] proposed an orchestrating method, which fused edge-centric computing and content-centric networking together in a 5G mobile environment, to boost 5G network's service capability.…”

Section: Related Workmentioning

confidence: 99%

“…Li et al [27] proposed an orchestrating method, which fused edge-centric computing and content-centric networking together in a 5G mobile environment, to boost 5G network's service capability. The unique features of the architecture integrating 5G and EC, i.e., superb reliability and super-low latency, render the architecture an adequate solution for VANETsand [2], [5], [9] investigate the architecture's advantage. Khan et al [2] proposed a new hierarchical VANET architecture to effectively relieve the delay.…”

Section: Related Workmentioning

confidence: 99%

“…By offering local computation capabilities and processing the time-sensitive tasks locally, EC could reduce the response time and bandwidth consumption and therefore is recognized as the pillar technology to achieve 5G's soaring demands. Jointly applying gNB and ECP turns out to be an adequate solution for faster processing and is viewed as the key to break through the conventional VANET's bottleneck [9]- [12]. VECN architecture aims at satisfying the following requirements:…”

Section: Introductionmentioning

confidence: 99%

“…The much shorter transmission route of EC could reduce the transmission delay. Moreover, the number of the users that EC support is much smaller than that of CC, which means EC could relieve the computation delay [9]. In a nutshell, ECP could facilitate fast response.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dimensioning and Layout Planning of 5G-Based Vehicular Edge Computing Networks Towards Intelligent Transportation

Lin

Zhou

Duan

2020

IEEE Open J. Veh. Technol.

View full text Add to dashboard Cite

Fast-response communication is crucial for Vehicular Ad Hoc Network (VANET). In practice, the conventional VANETs, suffering from the high mobility of the vehicles and the ever-growing data to percept and process, cannot meet the demand of fast response currently. In this paper, we study the Dimensioning and Layout Planning (DLP) problem under 5G-based Vehicular Edge Computing Network (VECN) architecture which integrates the 5G Micro Base Station (gNB) and Edge Computing (EC) to reduce the response time. The DLP problem aims to minimize the total placement cost under the constraint of the full coverage. This paper formulates the DLP problem as an integer linear program (ILP) and then proposes a Greedy Algorithm (GA) and a Cost-Effective Heuristic Algorithm (CEHA) toimprove the computation efficiency. The case studies have verified the feasibility and scalability of the DLP formulation and showed that the proposed CEHA is fairly effective and efficient to solve the DLP problem. INDEX TERMS Vehicular Ad Hoc network, edge computing, gNB, vehicular edge computing network, dimensioning and layout planning.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dimensioning and Layout Planning of 5G-Based Vehicular Edge Computing Networks Towards Intelligent Transportation

Lin

Zhou

Duan

2020

IEEE Open J. Veh. Technol.

View full text Add to dashboard Cite

show abstract

Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

Ravi

Kumar²,

et al. 2023

Int J Network Mgmt

View full text Add to dashboard Cite

SummaryThe rapid growth of vehicular applications has resulted in high demand for Internet technology, which demands an unprecedented network capacity and a high quality of service (QoS). In vehicular ad hoc networks (VANETs), since nodes (vehicles) are highly mobile. The dynamic nature of the network topology in the VANET system changes due to frequent changes in link connectivity. The vehicles‐to‐vehicles (V2V), vehicles‐to‐infrastructure (V2I), and QoS, as well as the heterogeneity of applications within the VANET. VANETs have been introduced to make driving comfortable by providing safety and support to drivers. Due to the flexibility and offloading schemes available in‐vehicle applications, there are some limitations. However, there are many issues in providing optimum service provisioning and scheduling in the vehicular environment. In VANETs, BSs and roadside units (RSUs) improve QoS. However, Internet services transmit packets to vehicles using stochastic models, and it predicts the traffic on a VANET. We provide open challenges to drive stochastic models in this direction.

show abstract

F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection

Wang

Luo²,

Yuan³

et al. 2022

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET

Cited by 123 publications

References 47 publications

Dimensioning and Layout Planning of 5G-Based Vehicular Edge Computing Networks Towards Intelligent Transportation

Dimensioning and Layout Planning of 5G-Based Vehicular Edge Computing Networks Towards Intelligent Transportation

Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection

Contact Info

Product

Resources

About