Suppr超能文献

用于物联网及其他领域的增强型射频识别技术

Augmented RFID Technologies for the Internet of Things and Beyond.

作者信息

Tarricone Luciano, Grosinger Jasmin

机构信息

Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.

Institute of Microwave and Photonics Engineering, Graz University of Technology, 8010 Graz, Austria.

出版信息

Sensors (Basel). 2020 Feb 12;20(4):987. doi: 10.3390/s20040987.

Abstract

Radio frequency identification (RFID) is one of the crucial enabling technologies for the Internet of Things (IoT). This is leading to a continuous augmentation of RFID technologies, in terms of sensing capabilities, energetic autonomy, usability, and cost affordability, and this special issue proposes an overview on such a challenging scenario. The proposed results, in terms of cost reduction, miniaturization, and compatibility with complex systems and technologies, as well as the identification of the relevant criticalities, also pave the way to future steps being taken that go beyond the current IoT.

摘要

射频识别(RFID)是物联网(IoT)的关键使能技术之一。这导致了RFID技术在传感能力、能源自主性、可用性和成本可承受性方面的不断增强,本期特刊对这一具有挑战性的场景进行了概述。在降低成本、小型化以及与复杂系统和技术的兼容性方面所取得的成果,以及对相关关键问题的识别,也为超越当前物联网的未来发展步骤铺平了道路。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验