### Review Comment

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Muhammad Royyan, Dong-Seong Kim, "Bio-inspired Congestion Control in Large-Scale Wireless Sensors Networks ", IEEE Communication Letter (IF 1.98)
By : °ü¸®ÀÚ
Date : 2018-02-19
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Dear Author(s):

The review of the referenced manuscript, CL2018-0120, entitled "Bio-Inspired Congestion Control in Large-Scale Wireless Sensor Networks", is now complete.

One referee was negative about the letter and other two referees, although they have expressed interest, raised critical issues. The raised concerns include weak contribution and lack of novelty,
and incomplete performance evaluation with incorrect/unjustified wireless standard assumptions and simplistic network topology.

Additionally, some critical assumptions (such as constant traffic flow $K_i = K$, as well as $\alpa_ii = \beta$) and are not justified or referenced. Although deeply simplifying the stability analysis, they should be motivated and discussed in terms of WSN properties.

I am afraid that I fully agree with the raised comments and thus I am unable to accept the manuscript. Due to the fundamental nature of the flaws, your paper may not be resubmitted for review.

For the detailed list of comments and issues, please refer to the reviewers' comments at the end of this email.

Thank you for submitting your work to the IEEE Communications Letters.

Regards,

Dr. Marcello Caleffi
Associate Editor
IEEE Communications Letters

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Reviewer: 1

The paper introduces a new Bio-Inspired Congestion Control in Large-Scale
Wireless Sensor Networks. I like the idea of competitive Lotka-Volterra (C-LV) model to avoid congestion and further apply Particle Swarm Optimization (PSO) over C-LV to show fairness.

I believe the paper has potential to be published after some specific modifications, as mentioned below:

(1) The author introduced C-LV. But, there is no competitive analysis of C-LV shown. How much competitive is it?

(2) The PSO is a optimization tool. But there is no analysis showing how much close to optimal solution could the authors obtain? Generally these algorithm do not provide global optimal solution, but some near-optimal solution. Then how much close to global optimality could be achieved?

(3) Simulation results are good, but lack any comparison with existing results. Equation(3) ~ Equation(6) do not say anything about it.

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Reviewer: 2

The paper addresses the congestion control and the dynamic rate control in wireless sensor networks.

The problem is faced through an hybrid approach that uses two well-known algorithms, that are L-CV and PSO. The literature widely discusses these algorithms and many works already presents the same analytical models reported in Section II and Section III.

Simulations were conducted though ns-3. But, a simple and single-hop network based on the IEEE 802.11 (i.e., WiFi) is taken into account. WSNs, instead, use different MAC protocols, different physical settings and transmission rates, as well as different topologies (including multi-hop).

Figure 5 reports the most important results. Many works in the literature that uses L-CV and PSO in WSN report similar curves. Thus, it is not clear the novelty level of the submitted manuscript.

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Reviewer: 3

A hybrid bio-inspired algorithm was proposed for congestion control in large-scale WSNs in this paper. First, the C-LV model-based scheme is applied to avoid congestion in WSNs and to maintain fairness among sensor nodes. In addition, the PSO algorithm is applied to enhances the C-LV scheme by optimizing the parameter for minimizing end-to-end delay and to help the system adapt to changes in the number of sensor nodes. This paper is somehow interesting, detailed comments:
1. The complexity of the proposed method is not very clear, which shouldbe discussed.
2. The proposed method should be compared to the existing works to demonstrate the novelty of this paper, for example, this paper can compare to the following works in introduction or simulation results:
"Aggressive Congestion Control Mechanism for Space Systems," IEEE Aerospace and Electronic Systems Magazine, vol. 31, no. 3, pp. 28-33, June 2016.
3. The writing of this paper should be polished.

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Reviewer: 4