Enhancement in Quality of Routing Service in Vehicular ad-hoc Networks Based on the MPR Selection Algorithm of the OLSR Protocol

Oussama Sbayti, Said Ouhmi, Brahim Es-Sousy, Khalid Housni
{"title":"Enhancement in Quality of Routing Service in Vehicular ad-hoc Networks Based on the MPR Selection Algorithm of the OLSR Protocol","authors":"Oussama Sbayti, Said Ouhmi, Brahim Es-Sousy, Khalid Housni","doi":"10.1109/CommNet60167.2023.10365310","DOIUrl":null,"url":null,"abstract":"In the transport domain, vehicles share a variety of information among themselves, including speed, road conditions, and accident data. Using the Vehicular Ad hoc Networks (VANETs), these vehicles effectively exchange this information. However, the issue lies in the quality of data transmission and reception. In another way, Enhancing Routing Services (ERS) improves the rate of data transmission and reception in VANETs. Our goal is to enhance routing services in VANETs based on the proactive Optimized Link State Routing (OLSR) protocol. This protocol relies on the concept of MultiPoint Relays (MPR) for neighbor selection and an intelligent algorithm for determining the shortest path between source and destination vehicles. Our idea consists of enhancing the MPR selection algorithm by increasing the maximum number of hops to three. We conducted simulations using the Simulation of Urban Mobility (SUMO) and the Network Simulator (NS3). The simulation results demonstrate favorable outcomes for the modified OLSR in various scenarios. We evaluated a set of metrics such as End-To-End Delay (E2ED), Packet Loss Rate (PLR), Overhead, and ERS.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"51 6","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CommNet60167.2023.10365310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the transport domain, vehicles share a variety of information among themselves, including speed, road conditions, and accident data. Using the Vehicular Ad hoc Networks (VANETs), these vehicles effectively exchange this information. However, the issue lies in the quality of data transmission and reception. In another way, Enhancing Routing Services (ERS) improves the rate of data transmission and reception in VANETs. Our goal is to enhance routing services in VANETs based on the proactive Optimized Link State Routing (OLSR) protocol. This protocol relies on the concept of MultiPoint Relays (MPR) for neighbor selection and an intelligent algorithm for determining the shortest path between source and destination vehicles. Our idea consists of enhancing the MPR selection algorithm by increasing the maximum number of hops to three. We conducted simulations using the Simulation of Urban Mobility (SUMO) and the Network Simulator (NS3). The simulation results demonstrate favorable outcomes for the modified OLSR in various scenarios. We evaluated a set of metrics such as End-To-End Delay (E2ED), Packet Loss Rate (PLR), Overhead, and ERS.
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 OLSR 协议的 MPR 选择算法提高车载 ad-hoc 网络的路由服务质量
在运输领域,车辆之间共享各种信息,包括速度、路况和事故数据。利用车载 Ad hoc 网络(VANET),这些车辆可以有效地交换这些信息。然而,问题在于数据传输和接收的质量。从另一个角度看,增强路由服务(ERS)可以提高 VANET 的数据收发率。我们的目标是在主动优化链路状态路由(OLSR)协议的基础上增强 VANET 中的路由服务。该协议依靠多点中继(MPR)的概念来选择邻居,并采用智能算法来确定源车和目的车之间的最短路径。我们的想法是通过将最大跳数增加到三跳来增强 MPR 选择算法。我们使用城市交通仿真(SUMO)和网络仿真器(NS3)进行了仿真。仿真结果表明,改进后的 OLSR 在各种场景下都取得了良好的结果。我们评估了一系列指标,如端到端延迟(E2ED)、丢包率(PLR)、开销和 ERS。
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
自引率
0.00%
发文量
0
期刊最新文献
Quantum codes over Fq from α+βu+γv+δuv+ηu2+θv2+λu2v+μuv2+νu2v2- constacyclic codes A New IoT Power-Limited Wireless Sensor Networks Routing Protocol Utilizing Computational Intelligence CommNet 2023 Cover Page Efficient Brain Tumor Classification on Resource-Constrained Devices Using Stacking Ensemble and RadImageNet Pretrained Models David and Goliath: Asymmetric Advantage in MIoT
×
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