Future transportation computing model with trifold algorithm for real-time multipath networks

Bharanidharan Chandrakasan, M. Subramanian, H. Manoharan, S. Selvarajan, Dr Rajanikanth Aluvalu
{"title":"Future transportation computing model with trifold algorithm for real-time multipath networks","authors":"Bharanidharan Chandrakasan, M. Subramanian, H. Manoharan, S. Selvarajan, Dr Rajanikanth Aluvalu","doi":"10.32629/jai.v6i2.618","DOIUrl":null,"url":null,"abstract":"Purpose: In the past ten years, research on Intelligent Transportation Systems (ITS) has advanced tremendously in everyday situations to deliver improved performance for transport networks. To prevent problems with vehicular traffic, it is essential that alarm messages be sent on time. The truth is that an ITS system in and of itself could be a feature of a vehicular ad hoc network (VANET), which is a wireless network extension. As a result, a previously investigated path between two nodes might be destroyed over a short period of time. Design: The Time delay-based Multipath Routing (TMR) protocol is presented in this research which efficiently determines a route that is optimal for delivering packets to the target vehicle with the least amount of time delay. Using the TMR method, data flow is reduced, especially for daily communication. As a result, there are few packet retransmissions. Findings: To demonstrate how effective the suggested protocol is, several different protocols, including AOMDV, FF-AOMDV, EGSR, QMR, and ISR, have been used to evaluate the TMR. Simulation outcomes show how well our suggested approach performs when compared to alternative methods. Originality: Our method would accomplish two objectives as a consequence. First, it would increase the speed of data transmission, quickly transfer data packets to the target vehicle, especially warning messages, and prevent vehicular issues like automobile accidents. Second, to relieve network stress and minimize network congestion and data collisions.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"自主智能(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.32629/jai.v6i2.618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Purpose: In the past ten years, research on Intelligent Transportation Systems (ITS) has advanced tremendously in everyday situations to deliver improved performance for transport networks. To prevent problems with vehicular traffic, it is essential that alarm messages be sent on time. The truth is that an ITS system in and of itself could be a feature of a vehicular ad hoc network (VANET), which is a wireless network extension. As a result, a previously investigated path between two nodes might be destroyed over a short period of time. Design: The Time delay-based Multipath Routing (TMR) protocol is presented in this research which efficiently determines a route that is optimal for delivering packets to the target vehicle with the least amount of time delay. Using the TMR method, data flow is reduced, especially for daily communication. As a result, there are few packet retransmissions. Findings: To demonstrate how effective the suggested protocol is, several different protocols, including AOMDV, FF-AOMDV, EGSR, QMR, and ISR, have been used to evaluate the TMR. Simulation outcomes show how well our suggested approach performs when compared to alternative methods. Originality: Our method would accomplish two objectives as a consequence. First, it would increase the speed of data transmission, quickly transfer data packets to the target vehicle, especially warning messages, and prevent vehicular issues like automobile accidents. Second, to relieve network stress and minimize network congestion and data collisions.
实时多路径网络未来交通计算模型的三重算法
目的:在过去的十年中,智能交通系统(ITS)的研究在日常生活中取得了巨大的进步,为交通网络提供了更好的性能。为了防止车辆交通出现问题,必须及时发送报警信息。事实是,ITS系统本身可能是车载自组织网络(VANET)的一个特征,这是一种无线网络扩展。因此,先前研究的两个节点之间的路径可能会在短时间内被破坏。设计:本研究提出了基于时间延迟的多路径路由(TMR)协议,该协议有效地确定了以最小的时间延迟将数据包发送到目标车辆的最佳路由。使用TMR方法可以减少数据流,特别是日常通信。因此,很少有数据包重传。研究结果:为了证明所建议的协议的有效性,使用了几种不同的协议,包括AOMDV、FF-AOMDV、EGSR、QMR和ISR来评估TMR。仿真结果表明,与其他方法相比,我们建议的方法执行得有多好。独创性:我们的方法最终将实现两个目标。首先,它将提高数据传输的速度,快速将数据包传输到目标车辆,特别是警告信息,防止汽车事故等车辆问题。第二,缓解网络压力,尽量减少网络拥塞和数据冲突。
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 求助全文
来源期刊
CiteScore
0.40
自引率
0.00%
发文量
25
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信