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Volume 9
Issue 12
10.3390/ijgi9120714
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Article
Peer-Review Record

Near Relation-Based Indoor Positioning Method under Sparse Wi-Fi Fingerprints

ISPRS Int. J. Geo-Inf. 2020, 9(12), 714; https://doi.org/10.3390/ijgi9120714
by Yankun Wang 1,2, Renzhong Guo 1, Weixi Wang 1, Xiaoming Li 1,*, Shengjun Tang 1, Wei Zhang 1, Luyao Wang 2, Liang Chen 2, You Li 1 and Wenqun Xiu 3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Reviewer 4: Anonymous
ISPRS Int. J. Geo-Inf. 2020, 9(12), 714; https://doi.org/10.3390/ijgi9120714
Submission received: 11 September 2020 / Revised: 17 October 2020 / Accepted: 30 November 2020 / Published: 1 December 2020
(This article belongs to the Special Issue Recent Trends in Location Based Services and Science)

Round 1

Reviewer 1 Report

What problem are the authors trying to solve? In what situation their analysis can be usefully applied? Without this discussion, the analysis is useless.

Author Response

Thanks for the reviewer's guiding suggestions.

Author Response File: Author Response.docx

Reviewer 2 Report

The author has improved the manuscript greatly and answered most of my concerns, except the one : ' In Wi-Fi fingerprinting, Clustering based approaches are also common ways to mitigate the ambiguity issue. They could be discussed in the related work. The authors could have a look at some clustering-based papers [1-4].' The authors have compared K-mean based approach with their proposed approach. However, it is also necessary to conclude the cluster based approach in the introduction or related work section. That is, to conclude the existing approaches in solving the mentioned problems and their drawbacks.

[1] Enhanced weighted k-nearest neighbor algorithm for indoor wi-fi positioning systems

[2] Improving RSS-based indoor positioning algorithm via K-Means clustering.

[3] Improving Wi-Fi Indoor Positioning via AP Sets Similarity and Semi-Supervised Affinity Propagation Clustering

[4] A novel clustering-based approach of indoor location fingerprinting.

 

Author Response

Thanks for the reviewer's guiding suggestions.

Author Response File: Author Response.docx

Reviewer 3 Report

Thanks for the authors’ responses. Overall, I am satisfied with this revised version. Some motivations, ideas, method descriptions and experimental evaluations are explained clearly in this version. I think that this paper can be published.

Author Response

Thanks for the reviewer's guiding suggestions.

Reviewer 4 Report

There are still many typos and presentation issues in the paper:

  • L.196: setps -> (steps)
  • The texts in Figs. 11 and 12 are too small to see.

Author Response

Thanks for the reviewer's guiding suggestions.

Author Response File: Author Response.docx

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