N-Hop广播和街道广播减少算法使用omnet++和谷歌地球插件

Deepti Agarwal, S. Sharma, Kavita Pandey
{"title":"N-Hop广播和街道广播减少算法使用omnet++和谷歌地球插件","authors":"Deepti Agarwal, S. Sharma, Kavita Pandey","doi":"10.1109/IC3.2015.7346741","DOIUrl":null,"url":null,"abstract":"VANET are the systems used to collaborate the wireless devices installed on the vehicles, for transfer of messages. The implementation of algorithms on VANET in actual device is preceded by simulation of the same on a simulating environment like OMNeT++, SUMO, etc. This paper presents a study and implementation of VANET Broadcasting algorithms, and algorithms which are able to solve the problem of broadcast storming. With efficient use of resources, the transmission of signals to the different vehicles have been scalable to be broadcasted using two protocols namely, N-Hops Weighted p-persistence Broadcasting which is able to disseminate the data to different vehicles in all the regions covering the broadcast range. Another algorithm is Street Broadcast Reduction, which covers the area through different roads and effectively send the warning and alert messages to the vehicles, using the distance based schemes. The problems in VANET broadcast has been addressed, and have been implemented using OMNeT++, SUMO and Google Earth.","PeriodicalId":217950,"journal":{"name":"2015 Eighth International Conference on Contemporary Computing (IC3)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"N-Hop broadcast and Street Broadcast Reduction algorithm using OMNeT++ and Google Earth plugin\",\"authors\":\"Deepti Agarwal, S. Sharma, Kavita Pandey\",\"doi\":\"10.1109/IC3.2015.7346741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"VANET are the systems used to collaborate the wireless devices installed on the vehicles, for transfer of messages. The implementation of algorithms on VANET in actual device is preceded by simulation of the same on a simulating environment like OMNeT++, SUMO, etc. This paper presents a study and implementation of VANET Broadcasting algorithms, and algorithms which are able to solve the problem of broadcast storming. With efficient use of resources, the transmission of signals to the different vehicles have been scalable to be broadcasted using two protocols namely, N-Hops Weighted p-persistence Broadcasting which is able to disseminate the data to different vehicles in all the regions covering the broadcast range. Another algorithm is Street Broadcast Reduction, which covers the area through different roads and effectively send the warning and alert messages to the vehicles, using the distance based schemes. The problems in VANET broadcast has been addressed, and have been implemented using OMNeT++, SUMO and Google Earth.\",\"PeriodicalId\":217950,\"journal\":{\"name\":\"2015 Eighth International Conference on Contemporary Computing (IC3)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Eighth International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2015.7346741\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Eighth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2015.7346741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

VANET是用于协作安装在车辆上的无线设备的系统,用于传输信息。在实际设备上实现VANET算法之前,先在omnet++、SUMO等仿真环境上对算法进行仿真。本文介绍了VANET广播算法的研究与实现,以及能够解决广播风暴问题的算法。在有效利用资源的情况下,向不同车辆传输的信号已经扩展到使用两种协议进行广播,即N-Hops加权p-persistence Broadcasting,它能够将数据传播到覆盖广播范围的所有区域的不同车辆。另一种算法是“街道广播减少”,它通过不同的道路覆盖该区域,并使用基于距离的方案有效地向车辆发送警告和警报信息。VANET广播中的问题已经得到解决,并已使用omnet++、SUMO和Google Earth实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
N-Hop broadcast and Street Broadcast Reduction algorithm using OMNeT++ and Google Earth plugin
VANET are the systems used to collaborate the wireless devices installed on the vehicles, for transfer of messages. The implementation of algorithms on VANET in actual device is preceded by simulation of the same on a simulating environment like OMNeT++, SUMO, etc. This paper presents a study and implementation of VANET Broadcasting algorithms, and algorithms which are able to solve the problem of broadcast storming. With efficient use of resources, the transmission of signals to the different vehicles have been scalable to be broadcasted using two protocols namely, N-Hops Weighted p-persistence Broadcasting which is able to disseminate the data to different vehicles in all the regions covering the broadcast range. Another algorithm is Street Broadcast Reduction, which covers the area through different roads and effectively send the warning and alert messages to the vehicles, using the distance based schemes. The problems in VANET broadcast has been addressed, and have been implemented using OMNeT++, SUMO and Google Earth.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Implementing security technique on generic database Pruned feature space for metamorphic malware detection using Markov Blanket Mitigation of desynchronization attack during inter-eNodeB handover key management in LTE Task behaviour inputs to a heterogeneous multiprocessor scheduler Hand written digit recognition system for South Indian languages using artificial neural networks
×
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