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基于物联网的车载信息娱乐服务资源控制:设计与实验。

IoT-Based Resource Control for In-Vehicle Infotainment Services: Design and Experimentation.

机构信息

School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Korea.

Silla System Corporation, Daegu 41065, Korea.

出版信息

Sensors (Basel). 2019 Feb 1;19(3):620. doi: 10.3390/s19030620.

DOI:10.3390/s19030620
PMID:30717205
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6386915/
Abstract

A variety of in-vehicle infotainment (IVI) devices and services have been developed by many vehicle vendors and software companies, which include navigation systems, cameras, speakers, headrest displays, and heating seat. However, there has not been enough research on how to effectively control and manage numerous IVI resources (devices and contents), so as to provide users with more enhanced services. This paper proposes a framework of resource control for IVI services so as to efficiently manage the IVI resources within an automobile. Differently from conventional IVI systems, in the proposed scheme, the is newly introduced for overall control of IVI resources, and IVI users are divided into and . In addition, the IVI resources are classified as and , which are managed by the IVI-Master using the Lightweight Machine-to-Machine (LWM2M) standard. The proposed IoT-based IVI resource control scheme was implemented and tested. The experimental results showed that the proposed scheme can be used to effectively manage IVI resources for users. Additionally, the proposed resource control scheme shows lower bandwidth usage than the existing scheme.

摘要

车载信息娱乐(IVI)设备和服务已经由许多汽车制造商和软件公司开发,包括导航系统、摄像头、扬声器、头枕显示器和加热座椅。然而,对于如何有效地控制和管理众多的 IVI 资源(设备和内容),以向用户提供更多增强的服务,还没有足够的研究。本文提出了一种 IVI 服务的资源控制框架,以便有效地管理汽车内的 IVI 资源。与传统的 IVI 系统不同,在提出的方案中,引入了 用于对 IVI 资源进行全面控制,并且将 IVI 用户分为 和 。此外,IVI 资源分为 和 ,由 IVI 主设备使用轻量级机器到机器(LWM2M)标准进行管理。已经实现并测试了基于物联网的 IVI 资源控制方案。实验结果表明,所提出的方案可用于有效地为用户管理 IVI 资源。此外,所提出的资源控制方案比现有方案使用的带宽更低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/50247aede9e8/sensors-19-00620-g017.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/4a3e4d86e721/sensors-19-00620-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/50247aede9e8/sensors-19-00620-g017.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/96c59d4d9427/sensors-19-00620-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/39860f475727/sensors-19-00620-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/d31dbeecfe26/sensors-19-00620-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/51ca1bf66f12/sensors-19-00620-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/1ad58d5125b0/sensors-19-00620-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/5d8b2bea8208/sensors-19-00620-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/1b0cf8f3e2a8/sensors-19-00620-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/a1dc4e22bae4/sensors-19-00620-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/7387ff56bcfd/sensors-19-00620-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/d324d2049ea6/sensors-19-00620-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/4a3e4d86e721/sensors-19-00620-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/5f27f539f146/sensors-19-00620-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c361/6386915/50247aede9e8/sensors-19-00620-g017.jpg

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