Review Reports
- Ting Yin1,2,*,
- Decai Zou1,3 and
- Xiaochun Lu1,3
- et al.
Reviewer 1: Anonymous Reviewer 2: Anonymous Reviewer 3: Anonymous
Round 1
Reviewer 1 Report
The authors present a cooperative localization method based on evolutionary coalitional game theory. Results show that the proposed method reduce the computational complexity and communication overhead compared to the PLBP algorithm. The authors have carried out an interesting study.
- Introduction, line 38: The list of classifications related to the existing research starts from here, but it would be better that the classification is a little clearer so that the overall structure could be seen.
- Results: I suggest to the authors to discuss in more detail theirs results. Are there any other algorithms to compare with the proposed method other than PLBP? Could you explain what is the major reason the PLBP algorithm selected as the comparison algorithm?
Author Response
Please see the attachment
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The abstract is incomplete: it must contain information on the objectives, material and research methods used, as well as the results obtained.
I recommend centring all the equations in the text.
The conclusions do not contain a comparative analysis (supported by specific data from the figures) of the proposed method and other existing methods highlighting their novel elements.
The bibliography contains 32 current references (2005 - 2022) but the reference [20] is not in the text.
I recommend correcting the errors related to the bibliography.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
It would useful to readers to describe the Pan for the Future study in this area of Research as part of Conclusion.Author Response
Please see the attachment.
Author Response File: Author Response.pdf