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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Online Access: | http://dx.doi.org/10.1155/2018/8548301 |
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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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