Performance Analysis of the Particle Swarm Optimization Algorithm in a VLC System for Localization in Hospital Environments

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

In this manuscript, accurate localization is achieved through the trilateration algorithm that incorporates the particle swarm optimization. The authors verified the effectiveness of the proposed method through simulation. However, there are some issues in the manuscript that need to be addressed, some of them are listed below.

[1]The investigation of related research progress is insufficient, and the meta-heuristic optimization has been widely applied in visible light positioning, including the particle swarm optimization used in this article, such as

Y. Cai, W. Guan, Y. Wu, C. Xie, Y. Chen and L. Fang, "Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization," in IEEE Photonics Journal, vol. 9, no. 6, pp. 1-20, Dec. 2017, Art no. 7908120.

B. Zhou, V. Lau, Q. Chen and Y. Cao, "Simultaneous Positioning and Orientating for Visible Light Communications: Algorithm Design and Performance Analysis," in IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 11790-11804, Dec. 2018.

The authors need to consult more relevant references, especially the visible light localization method based on particle swarm optimization.

[2]The trilateration and PSO algorithms used by the authors of this article are both conventional and widely used methods, lacking theoretical innovation, and the influence of PD tilt angle was not considered in constructing the objective function in this article.

[3]Although the authors of this article analyzed the positioning accuracy of the proposed method through simulation, only the influence of population size and receiving height was analyzed, and the simulation depth and breadth were insufficient.

[4]Due to the simulation method used to verify the positioning performance in this article, experimental analysis was not provided, and the mathematical formulas provided were all conventional equations, lacking mathematical contribution. It is recommended to consider the influence of PD receiving angle and analyze the Cramer Rao Lower Bound (CRLB) of positioning and orientation error.

[5]The comparison baseline is insufficient, and other meta-heuristic methods should be chosen as the comparison baseline, such as genetic algorithm, differential evolution, bat algorithm, etc., which have been applied to visible light positioning.

[6]Suggest the authors to propose an improved particle swarm optimization method for the objective function of visible light positioning, such as improving performance in localization accuracy and time complexity, and reducing the computational complexity of particle swarm optimization by reducing population size and iteration times.

[7]In the simulation parameter setting, the coordinates of the LED need to be given in units.

Author Response

We thank the reviewer for your comments and suggestions for improving the article, which we have addressed and adequately justified in the attached document.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

I struggle to justify the use of this method in hospitals and to clearly articulate the novelty of this work as it has not been presented as it should

The authors should clarify the following points to enhance readership:

1)In the abstract, it's crucial to detail the needs addressed by this method and explain why it necessitates the replacement of RFID and other technologies.

2)The authors should elaborate on what sets this method apart from existing solutions.

3)Given that the method utilizes Wi-Fi, why not leverage existing Wi-Fi-based localization algorithms?

 

4)The authors should provide reasoning for the applicability of this method in hospitals.

Author Response

We thank the reviewer for your comments and suggestions for improving the article, which we have addressed and adequately justified in the attached document.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

After revision, the quality of the manuscript has been improved.

 

 

Author Response

Thanks to the reviewer for your comments and suggestions that made us improve the article.

Reviewer 2 Report

Comments and Suggestions for Authors

The authors resolved all the reported issues.

Please include all the provided detailed reponses to the manuscript and the references and not only a minor part of them.

Author Response

We thank the reviewer for your comments and suggestions to improve the article. As per your requirement, we have added all the discussion and answers from the above answer sheet appropriately according to the organization of the article.

Author Response File: Author Response.pdf