Evidence map›Paper›PMID 37766018›Full record

ReviewSensors (Basel, Switzerland)2023

A Survey of Latest Wi-Fi Assisted Indoor Positioning on Different Principles.

Jihan Dai, Maoyi Wang, Bochun Wu, Jiajie Shen, Xin Wang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Sensors for Digital Transformation in Smart Forestry.Sensors (Basel, Switzerland) · 2024
    Article
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.

Jihan DaiSchool of Computer Science, Fudan University, Shanghai 200438, China.
Maoyi WangSchool of Computer Science, Fudan University, Shanghai 200438, China.ORCID 0009-0002-4559-0924
Bochun WuInformatization Office, Fudan University, Shanghai 200433, China.ORCID 0000-0002-3915-1987
Jiajie ShenInformatization Office, Fudan University, Shanghai 200433, China.
Xin WangSchool of Computer Science, Fudan University, Shanghai 200438, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the location-based service (LBS) plays an increasingly important role in real life, the topic of positioning attracts more and more attention. Under different environments and principles, researchers have proposed a series of positioning schemes and implemented many positioning systems. With widely deployed networks and massive devices, wireless fidelity (Wi-Fi) technology is promising in the field of indoor positioning. In this paper, we survey the authoritative or latest positioning schemes for Wi-Fi-assisted indoor positioning. To this end, we describe the problem and corresponding applications, as well as an overview of the alternative methods. Then, we classify and analyze Wi-Fi-assisted indoor positioning schemes in detail, as well as review related work. Furthermore, we point out open challenges and forecast promising directions for future work.

Indexed as

angle-of-arrivalindoor positioningreceived signal strength indicationtime-of-arrivalWi-Fi

Identifiers

PMID37766018
PMCPMC10536338

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.