• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

关于对按需距离向量路由发现机制进行修改的系统评价。

Systematic review on modification to the on-demand distance vector routing discovery mechanics.

作者信息

Alameri Ibrahim, Komarkova Jitka, Al-Hadhrami Tawfik, Lotfi Ahmad

机构信息

Computer Science, Nottingham Trent University, Nottingham, United Kingdom.

University of Pardubice, Pardubice, Czech Republic.

出版信息

PeerJ Comput Sci. 2022 Sep 5;8:e1079. doi: 10.7717/peerj-cs.1079. eCollection 2022.

DOI:10.7717/peerj-cs.1079
PMID:36091998
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9455269/
Abstract

Mobile networks (MANETs) and wireless mesh networks (WMNs) are used in a variety of research areas, including the military, industry, healthcare, agriculture, the Internet of Things (IoT), transportation, and smart cities. The swift advancement in MANET technology is the driving force behind this rising adoption rate. Routing over MANET is a critical problem due to the dynamic nature of the link qualities, even when nodes are static. A key challenge in MANETs is the need for an efficient routing protocol that establishes a route according to certain performance metrics related to the link quality. The routing protocols utilised by the nodes in WMNs and MANETs are distinct. Nodes in both types of networks exchange data packets through the routing protocols. For this highly mobile network, the On-Demand Distance Vector (AODV) routing protocol has been suggested as a possible solution. Recent years have attracted researchers' attention to AODV since it is a routing technique for networks that prevents looping. The architecture of this routing protocol considers several factors, including the mobility of nodes, the failure of connection links, and the loss of packets. In this systematic review, one of the key focuses is bringing attention to the classic AODV, which was developed after discussing the recent development of several versions of AODV. The AODV routing protocol performs a path strength check to generate a more reliable and secure route between the source and destination nodes. In AODV, investigations demonstrate advances in both the format protocol approach and the network simulation-2 (NS-2), and these improvements were made in the same scenario used to revitalise AODV. It has been discovered that the AODV is more effective in several aspects, such as throughput, end-to-end delay, packet delivery ratio (PDR), energy consumption, jitter, packet loss ratio, and network overhead. Furthermore, this paper presents this systematic review based on AODV modifications in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). It also provides a methodological framework for the papers' selection.

摘要

移动自组织网络(MANETs)和无线网状网络(WMNs)被应用于各种研究领域,包括军事、工业、医疗保健、农业、物联网(IoT)、交通运输和智能城市。MANET技术的迅速发展是其采用率不断上升的驱动力。由于链路质量的动态特性,即使节点是静态的,在MANET上进行路由也是一个关键问题。MANET的一个关键挑战是需要一种高效的路由协议,该协议能根据与链路质量相关的某些性能指标建立路由。WMNs和MANETs中节点使用的路由协议是不同的。这两种类型网络中的节点都通过路由协议交换数据包。对于这种高度移动的网络,已提出按需距离矢量(AODV)路由协议作为一种可能的解决方案。近年来,AODV引起了研究人员的关注,因为它是一种用于防止网络环路的路由技术。这种路由协议的架构考虑了几个因素,包括节点的移动性、连接链路的故障和数据包的丢失。在本系统综述中,一个关键重点是关注经典的AODV,它是在讨论了多个版本AODV的最新发展之后开发的。AODV路由协议执行路径强度检查,以在源节点和目标节点之间生成更可靠和安全的路由。在AODV中,研究表明在格式协议方法和网络仿真-2(NS-2)方面都有进展,并且这些改进是在用于改进AODV的相同场景中进行的。已经发现AODV在几个方面更有效,例如吞吐量、端到端延迟、数据包交付率(PDR)、能耗、抖动、数据包丢失率和网络开销。此外,本文基于系统评价和Meta分析的首选报告项目(PRISMA)中对AODV的修改进行了本系统综述。它还为论文的选择提供了一个方法框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/fa395a53d3e7/peerj-cs-08-1079-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/20f83c87b79f/peerj-cs-08-1079-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/86e74301aa5a/peerj-cs-08-1079-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/04d65dd49053/peerj-cs-08-1079-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/12ef37a5de4e/peerj-cs-08-1079-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/4b61b650d6a1/peerj-cs-08-1079-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/eda1312bdcc8/peerj-cs-08-1079-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/4a7eda86cb36/peerj-cs-08-1079-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/484476cfe9dd/peerj-cs-08-1079-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/4d10b7691a58/peerj-cs-08-1079-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/6296077a9a43/peerj-cs-08-1079-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/9e2f4e3f5bd4/peerj-cs-08-1079-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/bdb29e77459e/peerj-cs-08-1079-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/fa395a53d3e7/peerj-cs-08-1079-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/20f83c87b79f/peerj-cs-08-1079-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/86e74301aa5a/peerj-cs-08-1079-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/04d65dd49053/peerj-cs-08-1079-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/12ef37a5de4e/peerj-cs-08-1079-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/4b61b650d6a1/peerj-cs-08-1079-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/eda1312bdcc8/peerj-cs-08-1079-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/4a7eda86cb36/peerj-cs-08-1079-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/484476cfe9dd/peerj-cs-08-1079-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/4d10b7691a58/peerj-cs-08-1079-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/6296077a9a43/peerj-cs-08-1079-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/9e2f4e3f5bd4/peerj-cs-08-1079-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/bdb29e77459e/peerj-cs-08-1079-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/9455269/fa395a53d3e7/peerj-cs-08-1079-g013.jpg

相似文献

1
Systematic review on modification to the on-demand distance vector routing discovery mechanics.关于对按需距离向量路由发现机制进行修改的系统评价。
PeerJ Comput Sci. 2022 Sep 5;8:e1079. doi: 10.7717/peerj-cs.1079. eCollection 2022.
2
Fuzzy-based optimization of AODV routing for efficient route in wireless mesh networks.基于模糊算法的无线网状网络中AODV路由优化以实现高效路由
PeerJ Comput Sci. 2023 Oct 18;9:e1508. doi: 10.7717/peerj-cs.1508. eCollection 2023.
3
Highly Reliable Fuzzy-Logic-Assisted AODV Routing Algorithm for Mobile Ad Hoc Networks.用于移动自组织网络的高度可靠的模糊逻辑辅助AODV路由算法
Sensors (Basel). 2021 Sep 6;21(17):5965. doi: 10.3390/s21175965.
4
Networked control system with MANET communication and AODV routing.采用移动自组织网络(MANET)通信和自组织按需距离向量路由协议(AODV)的网络控制系统。
Heliyon. 2022 Nov 18;8(11):e11678. doi: 10.1016/j.heliyon.2022.e11678. eCollection 2022 Nov.
5
AODV-EOCW: An Energy-Optimized Combined Weighting AODV Protocol for Mobile Ad Hoc Networks.AODV-EOCW:一种用于移动自组织网络的能量优化组合加权AODV协议。
Sensors (Basel). 2023 Jul 28;23(15):6759. doi: 10.3390/s23156759.
6
An empirical evaluation of link quality utilization in ETX routing for VANETs.车载自组网中ETX路由中链路质量利用的实证评估。
PeerJ Comput Sci. 2024 Sep 6;10:e2259. doi: 10.7717/peerj-cs.2259. eCollection 2024.
7
Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density.基于邻居节点密度的移动自组织网络路由选择算法
Sensors (Basel). 2024 Jan 5;24(2):325. doi: 10.3390/s24020325.
8
Secure malicious node detection in flying ad-hoc networks using enhanced AODV algorithm.使用增强型AODV算法在无线自组织网络中进行安全恶意节点检测。
Sci Rep. 2024 Apr 3;14(1):7818. doi: 10.1038/s41598-024-57480-6.
9
T2AR: trust-aware ad-hoc routing protocol for MANET.T2AR:用于移动自组网的信任感知自组织路由协议。
Springerplus. 2016 Jul 7;5(1):995. doi: 10.1186/s40064-016-2667-6. eCollection 2016.
10
Adaptive mobility-aware and reliable routing protocols for healthcare vehicular network.适用于医疗车联网的自适应移动感知和可靠路由协议。
Math Biosci Eng. 2022 May 16;19(7):7156-7177. doi: 10.3934/mbe.2022338.

引用本文的文献

1
Fuzzy-based optimization of AODV routing for efficient route in wireless mesh networks.基于模糊算法的无线网状网络中AODV路由优化以实现高效路由
PeerJ Comput Sci. 2023 Oct 18;9:e1508. doi: 10.7717/peerj-cs.1508. eCollection 2023.

本文引用的文献

1
Information-Aware Secure Routing in Wireless Sensor Networks.信息感知的无线传感器网络安全路由
Sensors (Basel). 2019 Dec 26;20(1):165. doi: 10.3390/s20010165.