Research of Applications of Compressed Sensing in VANET

Fu Pang, Xiangyu Bai, Maoli Ran
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引用次数: 1

Abstract

Vehicular Ad Hoc Network (VANET) is becoming an indispensable platform for collecting sensory data for city perception and supporting many promising commercial applications. At the same time, in order to solve the problem that vehicular ad hoc network is difficult to transmit large amounts of data, some researchers use compressed sensing to compress data with spatio-temporal correlation. This paper firstly introduces the basic theory of compressed sensing, and then focuses on the research progress of compressed sensing in the vehicular ad hoc network in recent years, and points out the next research direction.
压缩感知在VANET中的应用研究
车辆自组织网络(VANET)正在成为收集城市感知感官数据和支持许多有前景的商业应用的不可或缺的平台。同时,为了解决车载自组织网络难以传输大量数据的问题,一些研究者采用压缩感知技术对数据进行时空相关压缩。本文首先介绍了压缩感知的基本理论,然后重点介绍了近年来压缩感知在车载自组织网络中的研究进展,并指出了下一步的研究方向。
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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