Anti-jamming method for vehicle communication network based on internet of vehicles technology

X. Tian
{"title":"Anti-jamming method for vehicle communication network based on internet of vehicles technology","authors":"X. Tian","doi":"10.1504/ijvics.2020.10030794","DOIUrl":null,"url":null,"abstract":"In order to solve the problems of poor signal anti-interference ability, high error rate and low network coverage in traditional vehicle communication network and improve the communication quality of vehicle communication network, an anti-interference method of vehicle communication network based on Internet of Vehicle (IoV) technology is proposed. The maximum cellular rate resource reuse algorithm (MCRRA) is used to optimise the link resources of vehicle communication network, so as to realise the optimal allocation of vehicle communication network resources. Then, the wavelet denoising method is used to filter the signal noise after resource allocation in vehicle communication network. Finally, the improved threshold function method of wavelet transform is used to compensate the pseudo-Gibbs phenomenon and signal loss in vehicle communication network. Experiments show that this method can effectively suppress the interference of vehicle communication network. The error rate of the vehicle communication network using this method is only 10%, and the coverage rate is as high as 98.7%.","PeriodicalId":39333,"journal":{"name":"International Journal of Vehicle Information and Communication Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Vehicle Information and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijvics.2020.10030794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

In order to solve the problems of poor signal anti-interference ability, high error rate and low network coverage in traditional vehicle communication network and improve the communication quality of vehicle communication network, an anti-interference method of vehicle communication network based on Internet of Vehicle (IoV) technology is proposed. The maximum cellular rate resource reuse algorithm (MCRRA) is used to optimise the link resources of vehicle communication network, so as to realise the optimal allocation of vehicle communication network resources. Then, the wavelet denoising method is used to filter the signal noise after resource allocation in vehicle communication network. Finally, the improved threshold function method of wavelet transform is used to compensate the pseudo-Gibbs phenomenon and signal loss in vehicle communication network. Experiments show that this method can effectively suppress the interference of vehicle communication network. The error rate of the vehicle communication network using this method is only 10%, and the coverage rate is as high as 98.7%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于车联网技术的车载通信网络抗干扰方法
为了解决传统车载通信网络信号抗干扰能力差、误码率高、网络覆盖率低的问题,提高车载通信网络的通信质量,提出了一种基于车联网技术的车载通信网络抗干扰方法。最大蜂窝速率资源重用算法(MCRRA)用于优化车辆通信网络的链路资源,从而实现车辆通信网络资源的优化分配。然后,利用小波去噪方法对车辆通信网络中资源分配后的信号噪声进行滤波。最后,采用改进的小波阈值函数方法对车载通信网络中的伪吉布斯现象和信号损失进行了补偿。实验表明,该方法能有效抑制车载通信网络的干扰。使用这种方法的车辆通信网络的错误率仅为10%,覆盖率高达98.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Vehicle Information and Communication Systems
International Journal of Vehicle Information and Communication Systems Computer Science-Computer Science Applications
CiteScore
1.20
自引率
0.00%
发文量
15
期刊最新文献
Route forecasting-based authentication scheme using A* algorithm in vehicular communication network Vehicle parallel integrated control strategy based on coordinated SAS and ABS Machine learning for efficient link adaptation strategy in VANETs Driving style recognition of highway-driving semi-trailer at different altitudes Research on the application of multiple target cluster intelligent algorithm in the design of door-to-door carriage of cargoes in railway carriage enterprises
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1