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基于DSDV-AODV协议的无人地面车辆智能交通模型

Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol.

作者信息

Ali Ali M, Ngadi Md Asri, Al Barazanchi Israa Ibraheem, JosephNg Poh Soon

机构信息

Department of Computer Science, Faculty of Computing, University Technology Malaysia, Johor Bahru 81310, Malaysia.

Computer Engineering Techniques Department, Baghdad College of Economic Sciences University, Baghdad 10, Iraq.

出版信息

Sensors (Basel). 2023 Jul 15;23(14):6426. doi: 10.3390/s23146426.

DOI:10.3390/s23146426
PMID:37514720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10383356/
Abstract

Traffic systems have been built as a result of recent technological advancements. In application, dependable communication technology is essential to link any system needs. VANET technology is used to communicate data about intelligent traffic lights, which are focused on infrastructure during traffic accidents and mechanisms to reduce traffic congestion. To ensure reliable data transfer in VANET, appropriate routing protocols must be used. This research aims to improve data transmission in VANETs implemented in intelligent traffic lights. This study investigates the capability of combining the DSDV routing protocol with the routing protocol AODV to boost AODV on an OMNET++ simulator utilizing the 802.11p wireless standard. According to the simulation results obtained by analyzing the delay parameters, network QoS, and throughput on each protocol, the DSDV-AODV routing protocol performs better in three scenarios compared to QoS, delay, and throughput parameters in every scenario that uses network topology adapted to the conditions on the road intersections. The topology with 50 fixed + 50 mobile nodes yields the best results, with 0.00062 s delay parameters, a network QoS of 640 bits/s, and a throughput of 629.437 bits/s. Aside from the poor results on the network QoS parameters, the addition of mobile nodes to the topology influences both the results of delay and throughput metrics.

摘要

由于最近的技术进步,交通系统得以建成。在应用中,可靠的通信技术对于连接任何系统需求至关重要。车载自组网(VANET)技术用于传输有关智能交通信号灯的数据,这些信号灯在交通事故期间侧重于基础设施以及减少交通拥堵的机制。为确保VANET中的可靠数据传输,必须使用适当的路由协议。本研究旨在改善智能交通信号灯中实现的VANET的数据传输。这项研究调查了将目的序列距离矢量路由协议(DSDV)与自组织按需距离矢量路由协议(AODV)相结合,以在使用802.11p无线标准的OMNET++模拟器上增强AODV的能力。根据通过分析每个协议的延迟参数、网络服务质量(QoS)和吞吐量获得的模拟结果,与在使用适应道路交叉口条件的网络拓扑的每个场景中的QoS、延迟和吞吐量参数相比,DSDV-AODV路由协议在三种场景中表现更好。具有50个固定节点+50个移动节点的拓扑产生了最佳结果,延迟参数为0.00062秒,网络QoS为640比特/秒,吞吐量为629.437比特/秒。除了网络QoS参数的结果较差外,向拓扑中添加移动节点会影响延迟和吞吐量指标的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/137d5cef2443/sensors-23-06426-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/d9c87da04fe0/sensors-23-06426-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/c8d77c65170f/sensors-23-06426-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/661eff17faad/sensors-23-06426-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/d71e80b82186/sensors-23-06426-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/137d5cef2443/sensors-23-06426-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/d9c87da04fe0/sensors-23-06426-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/c8d77c65170f/sensors-23-06426-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/661eff17faad/sensors-23-06426-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/d71e80b82186/sensors-23-06426-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f04d/10383356/137d5cef2443/sensors-23-06426-g005.jpg

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本文引用的文献

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TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes.TSR-YOLO:一种复杂场景下智能车辆用的中文交通标志识别算法。
Sensors (Basel). 2023 Jan 9;23(2):749. doi: 10.3390/s23020749.
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Multi-Agent System for Intelligent Urban Traffic Management Using Wireless Sensor Networks Data.基于无线传感器网络数据的智能城市交通管理多代理系统。
Sensors (Basel). 2021 Dec 29;22(1):208. doi: 10.3390/s22010208.
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