Task Offloading in Wireless Powered Mobile Crowd Sensing: A Matching-Based Approach
Round 1
Reviewer 1 Report
Please find below some comments that might help to revise the paper.
1. Page 6, formula (6), In both conditions 3) and 4) ``$\forall i\in \{1,…,M\}$ and’’ is missing. Specifically, ``$\forall j\in \{1,…,N\}$’’ should be ``$\forall i\in \{1,…,M\}$ and $\forall j\in \{1,…,N\}$ ’’
2. Page 7. Definition 2 of ``two-side exchange stable’’ solution. For the readers it might be interesting to see some explanation whether this definition defines the so-called Pareto optimal solution.
3. Page 8, Algorithm 1. Lines 27-30 might be confusing for the readers.
If “End” in Line 27 is not a point of termination for the algorithm, the readers might expect that there is “Begin” somewhere before this “End” to define the group of operators. Say, something like “while” in line 8 and “end while” in line 23. Please use the other name for Step 3 to avoid confusing for the readers.
4. It might be interesting for readers to read a comment that besides the considered optimization approach, in literature, game theoretical approach is used also if the communication agents are selfish, i.e., if each agent wants to maximize its own payoff. Say, for example
for throughput communication metric:
[R1] T. Alpcan, T. Basar, R. Srikant, and E. Altman, ``CDMA uplink power control as a noncooperative game’’, Wireless Networks, vol. 8, pp. 659–670, 2002, DOI: 10.1023/A:1020375225649
for latency (delay) communication metric:
[R2] A. Garnaev, A. Petropulu, W. Trappe, and H. V. Poor, "An Anti-Jamming Multiple Access Channel Game Using Latency As Metric," IEEE Wireless Communications Letters, 2022, DOI: 10.1109/LCOMM.2020.2995661
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 2 Report
No comments
Author Response
Thank you very much for your in-detail reading of the manuscript.
Reviewer 3 Report
The paper is well written and introduces an important framework for mobile data sensing, which is important these days, especially with the wide spread adoption of mobile phones. I have few comments that I like the authors to clarify.
- I did not see a detailed discussion about the mobility aspect of the users and how they affect the framework operation (e.g. what is the mobility model used to simulate the users' mobility), how mobility affects the system reliability, data redundancy, coverage, etc.
- I was expecting to see some analysis about the algorithms complexity in terms of time and processing power, especially that it will run under the mobile phones that are battery operated and limited in capabilities.
- make sure to introduce the acronyms only once and not to define them more than one. (e.g. PoI)
- Please include more references regarding the original matching algorithm, so the reader can learn more about it, which will help in understanding the proposed algorithm.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf