Evidence map›Paper›PMID 31533321›Full record

ReviewSensors (Basel, Switzerland)2019

Radio Frequency Identification and Sensing Techniques and Their Applications-A Review of the State-of-the-Art.

Lei Cui, Zonghua Zhang, Nan Gao, Zhaozong Meng, Zhen Li

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  8. An empirical investigation into the altering health perspectives in the internet of health things.International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management · 2023
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  9. Review
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  16. Nonreciprocal superconducting NbSeNature communications · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lei CuiSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China. lc.cui@outlook.com.
Zonghua ZhangSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China. zhzhang@hebut.edu.cn.ORCID 0000-0002-6645-6647
Nan GaoSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China. ngao@hebut.edu.cn.
Zhaozong MengSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China. zhaozong.meng@hebut.edu.cn.ORCID 0000-0002-8159-7173
Zhen LiCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China. zhenli@nuaa.edu.cn.

Funding

National Natural Science Foundation of China 51805143Natural Science Foundation of Hebei Province E2019202131Project Support for the Introduced Overseas Students of Hebei Province C20190324
6 · The paper itself

Abstract

Radio Frequency Identification (RFID) sensors, integrating the features of Wireless Information and Power Transfer (WIPT), object identification and energy efficient sensing capabilities, have been considered a new paradigm of sensing and communication for the futuristic information systems. RFID sensor tags featuring contactless sensing, wireless information transfer, wireless powered, light weight, non-line-of-sight transmission, flexible and pasteable are a critical enabling technology for future Internet-of-Things (IoT) applications, such as manufacturing, logistics, healthcare, agriculture and food. They have attracted numerous research efforts due to their innovative potential in the various application fields. However, there has been a gap between the in-lab investigations and the practical IoT application scenarios, which has motivated this survey of this research to identify the promising enabling techniques and the underlying challenges. This study aims to provide an exhaustive review on the state-of-art RFID sensor technologies from the system implementation perspective by focusing on the fundamental RF energy harvesting theories, the recent technical progresses and commercial solutions, innovative applications and some RFID sensor based IoT solutions, identify the underlying technological challenges at the time being, and give the future research trends and promising application fields in the rich sensing applications of the forthcoming IoT era.

Indexed as

backscatteringinductive couplingradio frequency energy harvestingradio frequency identification (RFID)RFID sensor

Identifiers

PMID31533321
PMCPMC6766906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.