A V2I BASED APPROACH TO MULTICAST IN VEHICULAR NETWORKS

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Malaysian Journal of Computer Science Pub Date : 2020-11-27 DOI:10.22452/mjcs.sp2020no1.7

R. Tomar, Hanumat G. Sastry, M. Prateek

引用次数: 1

Abstract

The present research work proposes a novel approach for efficient information dissemination in Vehicular Networks using V2I based communication. This approach makes use of the V2I communication to establish the connectivity between the cloud server and the vehicle. The approach is focused on finding the utility of existing IoT protocols in the Vehicular Networks. The foundation of this work relies in the (Message Queue Telemetry Transport Protocol) MQTT protocol, IoT and IaaS. The paper presents the background technologies used in the work and propose the approach. The proposed approach has been experimentally tested and found significant results.

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一种基于v2i的车载网络组播方法

本研究提出了一种基于V2I通信的车载网络高效信息传播新方法。这种方法利用V2I通信在云服务器和车辆之间建立连接。该方法的重点是寻找现有物联网协议在车载网络中的效用。这项工作的基础依赖于(消息队列遥测传输协议)MQTT协议、IoT和IaaS。本文介绍了工作中用到的背景技术，并提出了实现方法。所提出的方法已经过实验测试，并取得了显著的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

2.20

自引率

33.30%

发文量

审稿时长

7.5 months

期刊介绍： The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus