CoChat
Sign Up
Cited by 34Vehicular Ad Hoc Networks (VANETs)UAV Applications and OptimizationMobile Ad Hoc Networks

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

UAV-Assisted Data Dissemination in Delay-Constrained VANETs

Open access
Fan, Xiying, Huang, Chuanhe, Fu, Bin, Wen, Shaojie, Chen, Xi·2018·Mobile Information Systems
DOI 10.1155/2018/8548301
Open this paper in CoChat — free accountOpen PDF

Abstract

Due to the high mobility of vehicles, the frequent path failures caused by dynamic network topology, and a variety of obstructions, efficient data dissemination with delay constraint in vehicular ad hoc networks (VANETs) is a challenging issue. To address these problems, a novel mobile relaying technique by employing unmanned aerial vehicles (UAVs) is considered to facilitate data dissemination in vehicular environments where the communication infrastructures are not available or the network connectivity is poor. This paper studies and formulates the throughput maximization problem in UAV-assisted VANETs, which aims to achieve high throughput while guarantee the delay constraint of data flows to the vehicles in the area. To maximize the network throughput, the maximization problem tries to find an optimal delivery strategy for data dissemination by optimizing the transmission rate. To solve the problem, the knapsack problem can be reduced to the maximization problem, which is proved NP-hard. A polynomial time approximation scheme is proposed to achieve an approximate solution. Detailed theoretical analysis including time complexity and approximation ratio of the proposed algorithm is presented. Simulation results demonstrate the effectiveness of the proposed algorithm.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1155/2018/8548301

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 An overview of the cooperative air-to-ground network architecture.
Figure 1 An overview of the cooperative air-to-ground network architecture.CC-BY · From the PDF
Figure 2 An example of an undirected graph G ( V, E ) with six vertices, each edge connecting the nodes is assigned with weight ( we , d e ) , which helps illustrate how to find a path from s to d .
Figure 2 An example of an undirected graph G ( V, E ) with six vertices, each edge connecting the nodes is assigned with weight ( we , d e ) , which helps illustrate how to find a path from s to d .CC-BY · From the PDF
Figure 3 Selected area of Los Angeles, CA, USA.
Figure 3 Selected area of Los Angeles, CA, USA.CC-BY · From the PDF
Figure 4 Data delivery ratio comparison when the number of nodes increases from 50 to 400.
Figure 4 Data delivery ratio comparison when the number of nodes increases from 50 to 400.CC-BY · From the PDF
Figure 5 Throughput comparison when the number of nodes increases from 50 to 400.
Figure 5 Throughput comparison when the number of nodes increases from 50 to 400.CC-BY · From the PDF
Figure 6 Consumed hops comparison when the number of nodes increases from 50 to 400.
Figure 6 Consumed hops comparison when the number of nodes increases from 50 to 400.CC-BY · From the PDF
Figure 7 Impact of number of UAVs on data delivery efficiency, illustrated by delivery ratio and delivery delay.
Figure 7 Impact of number of UAVs on data delivery efficiency, illustrated by delivery ratio and delivery delay.CC-BY · From the PDF
Figure 8 Throughput comparison between the proposed solution and the optimal solution, the approximation ratio reflects the throughput difference and the effectiveness of the proposed solution.
Figure 8 Throughput comparison between the proposed solution and the optimal solution, the approximation ratio reflects the throughput difference and the effectiveness of the proposed solution.CC-BY · From the PDF
Image 9
CC-BY · From the PDF

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 25 references

Research works printed but not linked: 2

  1. 2016, Connectivity of VANET segments using UAVs
  2. 2018, Delay-constrained throughput maximization in UAV-assisted VANETs wireless algorithms, systems, and applications (WASA), 10874

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Fan, X., Huang, C., Fu, B., Wen, S., & Chen, X.
Affiliations
  • Wuhan University (CN)
  • The University of Texas Rio Grande Valley (US)
Corresponding author
Huang, Chuanhe
ORCID
Venue
Mobile Information Systems
Publisher
Wiley
Published
2018-10-25
Volume
2018
Pages
1-12
ISSN
  • 1574-017X (ISSN-L)
  • 1875-905X
DOI
10.1155/2018/8548301
OpenAlex
W2898465095
Cited by
34
References
25
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 7 · 2021: 9 · 2020: 4 · 2019: 3
FWCI
1.53
Type
journal article
Language
en
Open access
Licence
Locations
  • Mobile Information Systems (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Natural Science Foundation of China (61772385, 61373040, 61572370)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
  • Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
Keywords
vehicular ad hoc networks, mobile relaying, throughput maximization, knapsack problem, polynomial-time approximation scheme, NP-hardness, transmission rate optimization, dynamic topology

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review