An Efficient Greedy Traffic Aware Routing Scheme for Internet of Vehicles

An Efficient Greedy Traffic Aware Routing Scheme for Internet of Vehicles
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DOI:
10.32604/cmc.2019.07580
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发表时间:
2019
期刊:
Computers, Materials & Continua
影响因子:
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通讯作者:
Belghachi Mohammed;Debab Naouel
Belghachi Mohammed;Debab Naouel
中科院分区:
其他
文献类型:
--
作者:
Belghachi Mohammed;Debab Naouel

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近年来出现了一种新的VANET模式:车联网(IoV)。这些网络是在道路和街道上形成的旅行者之间的关系,互动和共同的社会利益。这些网络的用户交换共同感兴趣的信息,例如交通堵塞和途中的危险。他们还可以交换文件,如多媒体文件。IoV被认为是物联网(IoT)的一部分,其中对象是车辆,可以为智能交通系统创建多种服务。目的是允许所有连接的车辆通过其他车辆彼此通信和/或与中央服务器通信。车对车(V2 V)通信是主要组成部分,因为车联网中包含的服务基于相关车辆,例如发射器,中继器和接收器。这项工作的重点是设计和开发一个专门用于车联网网络的服务质量(QoS)路由方案。特别是,我们的目标是改进贪婪流量感知路由(GyTAR)协议,以支持在车联网网络的QoS。为了在IoV网络的背景下评估所提出的方法的QoS方面,考虑到诸如平均端到端延迟和分组投递率的性能指标来分析网络情况。
: A new paradigm of VANET has emerged in recent years: Internet of Vehicles (IoV). These networks are formed on the roads and streets between travellers who have relationships, interactions and common social interests. Users of these networks exchange information of common interest, for example, traffic jams and dangers on the way. They can also exchange files such as multimedia files. IoV is considered as part of the Internet of Things (IoT) where objects are vehicles, which can create a multitude of services dedicated to the intelligent transportation system. The interest is to permit to all connected vehicles to communicate with each other and/or with a central server, through other vehicles. Vehicle to Vehicle (V2V) communication is the main component, because the services encompassed in the IoV are based on the vehicles in question, such as transmitter, relay and receiver. This work is focusing on designing and developing a Quality of Service (QoS) routing scheme dedicated to IoV networks. Especially, we aim to improve the Greedy Traffic Aware Routing (GyTAR) protocol to support QoS in IoV networks. To evaluate the proposed approach in terms of QoS in the context of IoV networks, the performance metrics such as average end-to-end delay and packet delivery ratio are taken into consideration to analyse the network situation.