UAV-Assisted Data Dissemination in Delay-Constrained VANETs

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 tech...

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Main Authors: Xiying Fan, Chuanhe Huang, Bin Fu, Shaojie Wen, Xi Chen
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2018/8548301
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spelling doaj-de9411ea00e249a8aaca0574ef5b24de2021-07-02T05:07:30ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2018-01-01201810.1155/2018/85483018548301UAV-Assisted Data Dissemination in Delay-Constrained VANETsXiying Fan0Chuanhe Huang1Bin Fu2Shaojie Wen3Xi Chen4School of Computer Science, Wuhan University, Wuhan, ChinaSchool of Computer Science, Wuhan University, Wuhan, ChinaDepartment of Computer Science, The University of Texas Rio Grande Valley, Edinburg, TX, USASchool of Computer Science, Wuhan University, Wuhan, ChinaSchool of Computer Science, Wuhan University, Wuhan, ChinaDue 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.http://dx.doi.org/10.1155/2018/8548301
collection DOAJ
language English
format Article
sources DOAJ
author Xiying Fan
Chuanhe Huang
Bin Fu
Shaojie Wen
Xi Chen
spellingShingle Xiying Fan
Chuanhe Huang
Bin Fu
Shaojie Wen
Xi Chen
UAV-Assisted Data Dissemination in Delay-Constrained VANETs
Mobile Information Systems
author_facet Xiying Fan
Chuanhe Huang
Bin Fu
Shaojie Wen
Xi Chen
author_sort Xiying Fan
title UAV-Assisted Data Dissemination in Delay-Constrained VANETs
title_short UAV-Assisted Data Dissemination in Delay-Constrained VANETs
title_full UAV-Assisted Data Dissemination in Delay-Constrained VANETs
title_fullStr UAV-Assisted Data Dissemination in Delay-Constrained VANETs
title_full_unstemmed UAV-Assisted Data Dissemination in Delay-Constrained VANETs
title_sort uav-assisted data dissemination in delay-constrained vanets
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2018-01-01
description 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.
url http://dx.doi.org/10.1155/2018/8548301
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