VANET中各种优化路由算法的综合综述

J. Sumadeep, K. Vadivukkarasi, R. Dayana, P. Malarvezhi
{"title":"VANET中各种优化路由算法的综合综述","authors":"J. Sumadeep, K. Vadivukkarasi, R. Dayana, P. Malarvezhi","doi":"10.1109/ICAITPR51569.2022.9844205","DOIUrl":null,"url":null,"abstract":"These days safe and collision-free traveling is possible due to the evolution of self-driving technology. Self-driving or autonomous vehicles (AVs) can replace human-operated cars. It is indeed maintaining communication between vehicles, infrastructure, and pedestrians. The dynamic nature of nodes in vehicular ad-hoc networks (VANET) creates a major challenge in disseminating the data to a destination node by various routing algorithms. This paper focused mainly on the survey of the Meta-heuristic algorithm for routing decisions.","PeriodicalId":262409,"journal":{"name":"2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A comprehensive review on various optimization routing algorithms in VANET\",\"authors\":\"J. Sumadeep, K. Vadivukkarasi, R. Dayana, P. Malarvezhi\",\"doi\":\"10.1109/ICAITPR51569.2022.9844205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"These days safe and collision-free traveling is possible due to the evolution of self-driving technology. Self-driving or autonomous vehicles (AVs) can replace human-operated cars. It is indeed maintaining communication between vehicles, infrastructure, and pedestrians. The dynamic nature of nodes in vehicular ad-hoc networks (VANET) creates a major challenge in disseminating the data to a destination node by various routing algorithms. This paper focused mainly on the survey of the Meta-heuristic algorithm for routing decisions.\",\"PeriodicalId\":262409,\"journal\":{\"name\":\"2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAITPR51569.2022.9844205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAITPR51569.2022.9844205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

如今,由于自动驾驶技术的发展,安全无碰撞的旅行成为可能。自动驾驶或自动驾驶汽车(AVs)可以取代人类驾驶的汽车。它实际上是在维护车辆、基础设施和行人之间的沟通。车辆自组织网络(VANET)中节点的动态性为通过各种路由算法将数据传播到目标节点带来了重大挑战。本文主要综述了用于路由决策的元启发式算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive review on various optimization routing algorithms in VANET
These days safe and collision-free traveling is possible due to the evolution of self-driving technology. Self-driving or autonomous vehicles (AVs) can replace human-operated cars. It is indeed maintaining communication between vehicles, infrastructure, and pedestrians. The dynamic nature of nodes in vehicular ad-hoc networks (VANET) creates a major challenge in disseminating the data to a destination node by various routing algorithms. This paper focused mainly on the survey of the Meta-heuristic algorithm for routing decisions.
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
×
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:604180095
Book学术官方微信