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基于车联网的智能交通系统网络优化的调查与综述

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles.

机构信息

School of Computer Science and Engineering, VIT-AP University, Near Vijayawada 522237, Andhra Pradesh, India.

Delhi Public School, Nacharam, Hyderabad 500076, Telengana State, India.

出版信息

Sensors (Basel). 2023 Jan 3;23(1):555. doi: 10.3390/s23010555.

Abstract

The Internet of Things (IoT) has risen from ubiquitous computing to the Internet itself. Internet of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation systems (ITS) using IoV. However, overheads are imposed on IoV network due to a massive quantity of information being transferred from the devices connected in IoV. One such overhead is the network connection between the units of an IoV. To make an efficient ITS using IoV, optimization of network connectivity is required. A survey on network optimization in IoT and IoV is presented in this study. It also highlights the backdrop of IoT and IoV. This includes the applications, such as ITS with comparison to different advancements, optimization of the network, IoT discussions, along with categorization of algorithms. Some of the simulation tools are also explained which will help the research community to use those tools for pursuing research in IoV.

摘要

物联网(IoT)已经从无处不在的计算发展到了互联网本身。车联网(IoV)是物联网的下一个新兴趋势。我们可以使用 IoV 构建智能交通系统(ITS)。然而,由于从连接到 IoV 的设备传输的信息量巨大,IoV 网络会带来开销。其中一个开销是 IoV 中各个单元之间的网络连接。为了使用 IoV 构建高效的 ITS,需要优化网络连接。本研究对物联网和 IoV 中的网络优化进行了调查。它还强调了物联网和 IoV 的背景。其中包括应用程序,如与不同进展相比的 ITS、网络优化、物联网讨论以及算法分类。还解释了一些仿真工具,这将有助于研究社区使用这些工具在 IoV 中进行研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4ff/9824436/6d3539b7261f/sensors-23-00555-g001.jpg

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