Interference-aware node access scheme in UAV-aided VANET

Xiying FAN; Chuanhe HUANG; Junyu ZHU; Shaojie WEN

doi:10.11959/j.issn.1000-436x.2019081

您当前的位置：

首页 >

文章列表页 >

Interference-aware node access scheme in UAV-aided VANET

Papers | 更新时间：2024-06-05

- Interference-aware node access scheme in UAV-aided VANET
- Journal on Communications Vol. 40, Issue 6, Pages: 90-101(2019)
- 作者机构：
  
  1. 武汉大学计算机学院，湖北武汉 430072
  2. 工业和信息化部计算机与微电子发展研究中心（中国软件评测中心），北京 100081
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61772385);The National Natural Science Foundation of China(61373040);The National Natural Science Foundation of China(61572370);The National Key Research and Development Plan(SQ2018YFB010236-04-04)
- DOI：10.11959/j.issn.1000-436x.2019081
  CLC： TP393
- Online First：2019-06，
  
  Published：25 June 2019
- 稿件说明：
移动端阅览
Xiying FAN, Chuanhe HUANG, Junyu ZHU, et al. Interference-aware node access scheme in UAV-aided VANET[J]. Journal on Communications, 2019, 40(6): 90-101.
DOI：

Xiying FAN, Chuanhe HUANG, Junyu ZHU, et al. Interference-aware node access scheme in UAV-aided VANET[J]. Journal on Communications, 2019, 40(6): 90-101. DOI： 10.11959/j.issn.1000-436x.2019081.

摘要

在车联网中，链路频繁切换和信道干扰会导致传输时延增加及网络吞吐量下降。引入无人机与地面车辆进行协同通信，构建无人机辅助的空地一体化车联网，采用发送端自主决策的分布式策略，提出了一种干扰感知的节点接入机制。将节点接入问题形式化为一个与链路传输速率、链路切换次数和节点发射功率相关的多目标优化问题，利用对偶分解法将该问题分解为2个凸优化子问题：联合优化链路切换次数与链路传输速率和在保证链路可靠性的前提下优化节点发射功率。仿真实验表明了所提出节点接入机制可有效地改善数据传递率、平均端到端时延以及网络吞吐量。

Abstract

In vehicular Ad Hoc network (VANET)

frequent link handovers and channel interference can lead to increased transmission delay and decreased network throughput.To address the issues

unmanned aerial vehicle (UAV) were introduced to cooperate with vehicles and construct UAV-assisted air-ground integrated VANET.An interference-aware node access scheme was proposed.The node access problem was formulated as a multi-objective optimization problem considering link transmission rate

link handovers and transmit power.Then the optimization problem was decomposed into two convex optimization sub-problems by dual decomposition method

the sub-problem jointly optimizes handovers and link transmission rate while the sub-problem optimizes the transmit power based on link reliability.Finally

simulation results show that the proposed mechanism can effectively improve data delivery ratio

average end-to-end delay and network throughput.

关键词

Keywords

references

GHEBLEH R . A comparative classification of information dissemination approaches in vehicular Ad Hoc networks from distinctive viewpoints:a survey [J ] . Computer Networks , 2018 , 131 : 15 - 37 .

CUNHA F , VILLAS L , BOUKERCHE A , et al . Data communication in VANETs:protocols,applications and challenges [J ] . Ad Hoc Networks , 2016 , 44 : 90 - 103 .

HADIWARDOYO A S , CALAFATE T C , CANO J , et al . Evaluating UAV-to-car communications performance:from testbed to simulation experiments [C ] // IEEE Annual Consumer Communications ＆ Networking Conference . IEEE , 2019 : 1 - 6 .

JAWHAR I , MOHAMED N ， AL-JAROODI J , et al . Communication and networking of UAV-based systems:classification and associated architectures [J ] . Journal of Network and Computer Applications , 2017 , 84 : 93 - 108 .

吴黎兵 , 刘冰艺 , 聂雷 , 等 . VANET-Cellular 环境下安全消息广播中继选择方法研究 [J ] . 计算机学报 , 2017 , 40 ( 4 ): 1004 - 1016 .

WU L B , LIU B Y , NIE L , et al . Research on selection of safety message broadcast relay in VANET-Cellular [J ] . Chinese Journal of Computers , 2017 , 40 ( 4 ): 1004 - 1016 .

MA R , CHANG Y J , CHEN H H , et al . On relay selection schemes for relay-assisted D2D communications in LTE-A systems [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 9 ): 8303 - 8314 .

CSS-SM.CCSDS 902.1-B-1:cross support service management-simple schedule [R ] . CCSDS ,(2017-05)[2018-09-07 ] .

LIU X , QIU M , WANG X , et al . Optimization for communication energy efficiency of air-based information network while satisfying timing constraints [C ] // IEEE International Conference on High Performance Computing and Communications . IEEE , 2015 : 553 - 558 .

ABDULLA A E A A , FADLULLAH Z M , NISHIYAMA H , et al . An optimal data collection technique for improved utility in UAS-aided networks [C ] // IEEE Conference on Computer Communications . IEEE , 2014 : 736 - 744 .

LYU J , ZENG Y , ZHANG R . Cyclical multiple access in UAV-aided communications:a throughput-delay tradeoff [J ] . IEEE Wireless Communications Letters , 2016 , 5 ( 6 ): 600 - 603 .

TUNA G , MUMCU T V , GULEZ K , et al . Unmanned aerial vehicle-aided wireless sensor network deployment system for post-disaster monitoring [M ] // HUANG D S,GUPTA P,WANG L,et al.Emerging Intelligent Computing Technology and Applications . Berlin:Springer , 2012 : 298 - 305 .

ZHANG N , ZHANG S , YANG P , et al . Software defined space-air-ground integrated vehicular networks:challenges and solutions [J ] . IEEE Communications Magazine , 2017 , 55 ( 7 ): 101 - 109 .

ZHOU Y , CHENG N , LU N , et al . Multi-UAV-aided networks:aerial-ground cooperative vehicular networking architecture [J ] . IEEE Vehicular Technology Magazine , 2015 , 10 ( 4 ): 36 - 44 .

KAWAMOTO Y , FADLULLAH Z M , NISHIYAMA H , et al . Prospects and challenges of context-aware multimedia content delivery in cooperative satellite and terrestrial networks [J ] . IEEE Communications Magazine , 2014 , 52 ( 6 ): 55 - 61 .

ZENG Y , ZHANG R , TENG J L . Wireless communications with unmanned aerial vehicles:opportunities and challenges [J ] . IEEE Communications Magazine , 2016 , 54 ( 5 ): 36 - 42 .

ZENG Y , ZHANG R , TENG J L . Throughput maximization for UAV-enabled mobile relaying systems [J ] . IEEE Transactions on Communications , 2016 , 64 ( 12 ): 4983 - 4996 .

CHENG C M , HSIAO P H , KUNG H T , et al . Maximizing throughput of UAV-relaying networks with the load-carry-and-deliver paradigm [C ] // IEEE Wireless Communications and Networking Conference . IEEE Computer Society , 2007 : 4417 - 4424 .

OUBBATI O S , LAKAS A , ZHOU F , et al . Intelligent UAV-assisted routing protocol for urban VANETs [J ] . Computer Communications , 2017 , 107 ( C ): 93 - 111 .

WANG X , FU L , ZHANG Y , et al . VDNet:an infrastructure-less UAV-assisted sparse VANET system with vehicle location prediction [J ] . Wireless Communications ＆ Mobile Computing , 2016 , 16 ( 17 ): 2991 - 3003 .

LU X , XU D , XIAO L , et al . Anti-Jamming communication game for UAV-aided VANETs [C ] // IEEE Global Communications Conference . IEEE , 2017 : 1 - 6 .

XIAO L , LU X , XU D , et al . UAV relay in VANETs against smart jamming with reinforcement learning [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 5 ): 4087 - 4097 .

SELIEM H , AHMED M , SHAHIDI R , et al . Delay analysis for drone-based vehicular ad-hoc networks [C ] // IEEE International Symposium on Personal,Indoor,and Mobile Radio Communications . IEEE , 2017 : 1 - 7 .

FAWAZ W . Effect of non-cooperative vehicles on path connectivity in vehicular networks:a theoretical analysis and UAV-based remedy [J ] . Vehicular Communications , 2018 , 11 : 12 - 19 .

SHILIN P , KIRICHEK R , PARAMONOV A , et al . Connectivity of VANET segments using UAVs [M ] // GALININA O,ANDREEV S,BALANDIN S,et al.Internet of Things,Smart Spaces,and Next Generation Networks and Systems . Berlin:Springer , 2016 : 492 - 500 .

GUPTA L , JAIN R , VASZKUN G . Survey of important issues in UAVcommunication networks [J ] . IEEE Communications Surveys ＆ Tutorials , 2016 , 18 ( 2 ): 1123 - 1152 .

SOUPPOURIS A . Renault concept car launches drone to check for gridlock ahead [Z ] . The Verge , 2014 .

AL-HOURANI A , KANDEEPAN S , LARDNER S . Optimal LAP altitude for maximum coverage [J ] . IEEE Wireless Communications Letters , 2014 , 3 ( 6 ): 569 - 572 .

TYCHOGIORGOS G , LEUNG K K . Optimization-based resource allocation in communication networks [J ] . Computer Networks , 2014 , 66 : 32 - 45 .

ALEJANDRO R , GEORGIOD B G . Separation principles in wireless networking [J ] . IEEE Transactions on Information Theory , 2010 , 56 ( 9 ): 4488 - 4505 .

ANDREA S , HADI J R . Primal recovery from consensus-based dual decomposition for distributed convex optimization [J ] . Journal of Optimization Theory and Applications , 2016 , 168 ( 1 ): 172 - 197 .

QIU F , BAI J , XUE Y . Optimal rate allocation in wireless networks with delay constraints [J ] . Ad Hoc Networks , 2014 , 13 : 282 - 295 .

HAKLAY M , WEBER P . OpenStreetMap:user-generated street maps [J ] . IEEE Pervasive Computing , 2008 , 7 ( 4 ): 12 - 18 .

KRAJZEWICZ D , . Traffic simulation with SUMO [M ] // BEHRISCH M,WEBER M.Simulation of Urban Mobility . New York:Springer , 2010 : 269 - 293 .

RAZA W , JAVAID N , NASIR H , et al . Buffer-aided relay selection with equal-weight links in cooperative wireless networks [J ] . IEEE Communications Letters , 2018 , 22 ( 1 ): 133 - 136 .

DAHMANE S , KERRACHE C A , LAGRAA N , et al . WeiSTARS:a weighted trust-aware relay selection scheme for VANET [C ] // IEEE International Conference on Communications . IEEE , 2017 : 1 - 6 .

Views

1898

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Integrated perception-communication-logistics multi-objective oriented path planning for emergency UAVs

Resource allocation algorithm for secure communication in UAV-assisted D2D communication network

Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order

Beamforming and resource optimization in UAV integrated sensing and communication network with edge computing

Research on multi-UAV energy consumption optimization algorithm for cellular-connected network

Related Author

XIE Yaqi

YU Ran

HOU Luyang

WANG Kailiang

XU Lianming

XU Yunpeng

Dongtang MA

Lei HUANG

Related Institution

State Grid Jibei Information & Telecommunication Company

School of Electronic Engineering, Beijing University of Posts and Telecommunications

School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications

Unit 92689 of the Chinese People’s Liberation Army

College of Electronic Science and Technology, National University of Defense Technology

AI问答

⁰