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Peer-Review Record

RSU-Aided Optimal Member Replacement Scheme with Improved Mobility Prediction for Vehicular Clouds in VANETs

Electronics 2022, 11(17), 2787; https://doi.org/10.3390/electronics11172787
by Youngju Nam, Hyunseok Choi, Yongje Shin, Dick Mugerwa and Euisin Lee *
Reviewer 1:
Reviewer 2: Anonymous
Electronics 2022, 11(17), 2787; https://doi.org/10.3390/electronics11172787
Submission received: 26 July 2022 / Revised: 29 August 2022 / Accepted: 1 September 2022 / Published: 4 September 2022

Round 1

Reviewer 1 Report

This paper proposes a RSU-aided optimal member replacement scheme 80
based on an improved mobility prediction of vehicles for vehicular clouds in VANETs.

strength points:
-the study contributions are relatively novel.
- the network model of the proposed scheme is clearly defined in section 3, furthermore, the challenges are highlighted.
- Notations are well defined which makes it easier to read and understand the equations
-the proposed system is well validated by extensive traffic simulation in different scenarios.

weaknesses:
-the proposed system is compared only to 1 scheme (SERVitES)
-the following related works are missing:
[1] Zhang, Hong, and Li He. "Data mining method of sequential patterns for vehicle trajectory prediction in VANET." Wireless Personal Communications 117.2 (2021): 417-429.
[2] Aung, Nyothiri, et al. "Dynamic traffic congestion pricing and electric vehicle charging management system for the internet of vehicles in smart cities." Digital Communications and Networks 7.4 (2021): 492-504.
[3] Jin, Zilong, et al. "Trajectory-prediction based relay scheme for time-sensitive data communication in VANETs." KSII Transactions on Internet and Information Systems (TIIS) 14.8 (2020): 3399-3419.
-study limitation and future directions section/subsection is missing

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper deals with an interesting topic but several points must be considered to improve the presentation of the paper:

- Abstract is too long with general comments. I suggest focusing in novelties and results

- Section 1 is too long considering that there is a section 2 with the state of the art

- Large groups of references such as [3-14] must be aoided and expalined more individually

- At the end of sections 1 or 2, include some more explanations of the contributions.

- Results are based on simulation. Discuss the limitations that could be found when applying in real scenarios

-Section 7 is not necessary

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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