Evidence map›Paper›PMID 31083623›Full record

ArticleSensors (Basel, Switzerland)2019

ANTspin: Efficient Absolute Localization Method of RFID Tags via Spinning Antenna.

Leixian Shen, Qingyun Zhang, Jiayi Pang, He Xu, Peng Li, Donghui Xue

Abstract read
In one paragraph

Article 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Leixian ShenSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. B16041522@njupt.edu.cn.
Qingyun ZhangSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. B16041523@njupt.edu.cn.
Jiayi PangSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. B16041505@njupt.edu.cn.
He XuSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. xuhe@njupt.edu.cn.ORCID 0000-0003-2809-2237
Peng LiSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. lipeng@njupt.edu.cn.ORCID 0000-0001-5026-5347
Donghui XueSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. 1018041229@njupt.edu.cn.

Funding

CERNET Innovation Project under Grant NGII20180605National Key R&D Program of China under Grant 2018YFB1003201
6 · The paper itself

Abstract

The Global Positioning System (GPS) has been widely applied in outdoor positioning, but it cannot meet the accuracy requirements of indoor positioning. Comprising an important part of the Internet of Things perception layer, Radio Frequency Identification (RFID) plays an important role in indoor positioning. We propose a novel localization scheme aiming at the defects of existing RFID localization technology in localization accuracy and deployment cost, called ANTspin: Efficient Absolute Localization Method of RFID Tags via Spinning Antenna, which introduces a rotary table in the experiment. The reader antenna is fixed on the rotary table to continuously collect dynamic data. When compared with static acquisition, there is more information for localization. After that, the relative incident angle and distance between tags and the antenna can be analyzed for localization with characteristics of Received Signal Strength Indication (RSSI) data. We implement ANTspin using COTS RFID devices and the experimental results show that it achieves a mean accuracy of 9.34 cm in 2D and mean accuracy of 13.01 cm in three-dimensions (3D) with high efficiency and low deployment cost.

Indexed as

absolute localizationRFIDRSSIspinning antenna

Identifiers

PMID31083623
PMCPMC6539323

What OpenQuestion holds

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Registered trials

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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.