Evidence map›Paper›PMID 37420883›Full record

ArticleSensors (Basel, Switzerland)2023

Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)-For Industrial Internet of Things (IIoT).

Fuhu Che, Qasim Zeeshan Ahmed, Pavlos I Lazaridis, Pradorn Sureephong, Temitope Alade

Erratum issuedAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Fuhu CheDepartment of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.
Qasim Zeeshan AhmedDepartment of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.ORCID 0000-0002-3957-5341
Pavlos I LazaridisDepartment of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.ORCID 0000-0001-5091-2567
Pradorn SureephongCollege of Arts, Media and Technology, Chiang Mai University, Chiang Mai 50200, Thailand.
Temitope AladeDepartment of Computer Science, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Funding

The European Union through the Horizon 2020 Marie Skłlodowska-Curie Research and Innovation Staff Exchange Programme "Research Collaboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)" 872857
6 · The paper itself

Abstract

The integration of the physical and digital world has become increasingly important, and location-based services have become the most sought-after application in the field of the Internet of Things (IoT). This paper delves into the current research on ultra-wideband (UWB) indoor positioning systems (IPS). It begins by examining the most common wireless communication-based technologies for IPSs followed by a detailed explanation of UWB. Then, it presents an overview of the unique characteristics of UWB technology and the challenges still faced by the IPS implementation. Finally, the paper evaluates the advantages and limitations of using machine learning algorithms for UWB IPS.

Indexed as

Internet of ThingsCommunicationWireless Technologyindoor positioning systemlocalizationmachine learningNLoSUWB

Identifiers

PMID37420883
PMCPMC10304790

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.