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Peer-Review Record

MBMQA: A Multicriteria-Aware Routing Approach for the IoT 5G Network Based on D2D Communication

Electronics 2021, 10(23), 2937; https://doi.org/10.3390/electronics10232937

by Valmik Tilwari^1,*, MHD Nour Hindia², Kaharudin Dimyati², Dushantha Nalin K. Jayakody^1,3,4

, Sourabh Solanki⁵

, Rashmi Sharan Sinha⁶

and Effariza Hanafi²

Reviewer 1: Anonymous

Reviewer 2: Anonymous

Electronics 2021, 10(23), 2937; https://doi.org/10.3390/electronics10232937

Submission received: 6 September 2021 / Revised: 17 September 2021 / Accepted: 21 September 2021 / Published: 26 November 2021

(This article belongs to the Special Issue Machine Learning Based Ubiquitous Localization, Indoor Positioning and Location Based Services)

Round 1

Reviewer 1 Report

This work studies a Mobility, Battery, and Queue-length Multipath-Aware (MBMQA) routing scheme in the Internet of Things (IoT) Fifth Generation (5G) wireless networks based on Device-to-Device (D2D) communication technology by a back-pressure algorithm. Comments:

Too many abbreviations in title.
The used back-pressure algorithm can be introduced more in abstract.
MARS is mentioned in keywords but it did not be explained in abstract.
All Authors name must be introduced instead of et al. in references.
The abbreviations can only be mentioned after they defined such as eNodeB in figure 1.
The features of 5G network are not shown in figure 1.
To provide the definition of notations in a Table is needed.

8. The used back-pressure algorithm only be mentioned in abstract and conclusion. It should be introduced by a section because this study uses this algorithm.

Author Response

Editor-in-Chief September 17, 2021

Electronics Editorial Office,

We would like to express our sincere gratitude to the Editor-in-Chief, the guest editors, and the reviewer for their insightful comments and suggestions. These comments have helped us to improve the paper further. We believe that the revised version addresses all the reviewer all comments.

Please find enclosed the rebuttal explaining our point-by-point response and revised version of our manuscript titled: “MBMQA: A Multicriteria aware Routing Approach for IoT 5G Network based on D2D Communication” and Manuscript ID: electronics-1390685, which was submitted for exclusive consideration in your special issue.

We will be happy to address any further comments or suggestions.

We look forward to your positive response.

Sincerely yours,

Corresponding author:

Dr Valmik Tilwari

Postdoctoral Researcher,

Centre for Telecommunications Research,

Sri Lanka Technological Campus, Padukka, Sri Lanka | SLTC |

www.sltc.lk

Tel.: +919806501115

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors propose an algorithm that combines the mobility, energy consumption, and queue length size parameter into a single route selection metrics with the back-pressure algorithm and investigate its network performance.

Some sentences in the abstract should be modified such as
Line 17: has high potential promise

Shorten the introductory part of the abstract and make the contribution more explicit.

Check those two state-of-the-art works [1, 2] about node scheduling when you consider the traffic load.

[1] D. J. Vergados, et al., "Local voting: Optimal distributed node scheduling algorithm for multihop wireless networks," 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2017, pp. 1014-1015, doi: 10.1109/INFCOMW.2017.8116537.
[2] L. U. Khan, I. Yaqoob, N. H. Tran, Z. Han, and C. S. Hong, “Network slicing: Recent advances, taxonomy, requirements, and open research challenges,” IEEE Access, vol. 8, pp. 36 009–36 028, 2020.

Proof read of the manuscript is needed. There are many grammatical mistakes
Line 47: is emerging wireless communication technologies
Line 148: to obtained alternate
Line 342: The MARS metric estimate the device

The font size and style through the manuscript is different. Make it consistent.

Do you consider the cost of status exchange between the nodes? They have to share information about their batteries and other metrics in order to make a routing decision?

Check Eq. (16) in line 509.

Information about the used simulation tool and parameters is missing.

Future work is missing. One possible direction is to see the performance in a 5G setup such as one of testbeds explained in
[3] Esmaeily, Ali, and Katina Kralevska. "Small-Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review." Wireless Communications and Mobile Computing 2021 (2021).