Internet of Things Energy Consumption Optimization in Buildings: A Step toward Sustainability

Round 1

Reviewer 1 Report

Authors present a method that combines Particle Swarm optimization and fractional chaotic mapping to optimize energy consumption in IoT clusters.

The topic is interesting and the application of fractional chaotic mapping to this problem is novel. However, I have the following concerns:

1. What are the main contributions of this paper against the current state of art?

2. Paper is lacking on the coverage of more relevant new research. The review of the related work should be improved by adding similar works in clustering approaches in WSNs in IoT. The following works are some suggested papers but are not limited to:
- Fuzzy multi-hop clustering protocol: Selection fuzzy input parameters and rule tuning for WSNs. Applied Soft Computing (2021), 99, 106923. - Multi-objective biogeography-based optimization and reinforcement learning hybridization for network-on chip reliability improvement. Journal of Parallel and Distributed Computing (2022), 161, 20-36. - Application-specific clustering in wireless sensor networks using combined fuzzy firefly algorithm and random forest. Expert Systems with Applications (2022), 210, 118365.

3. The Introduction section is too long. It would be better to divide it in two sections: Introduction (with a list of contributions) and Related work.

4. It is unclear how the parameters such as Etx, Erx, Eelec, Dij, Fij, etc. are optimized using the proposed method. Is this method used to optimize each parameter separately, or are they somehow combined? Furthermore, what is exactly optimized in Table1 (what does the objective function represent)?

5. What are the limitations of this study?

Author Response

With thanks. Please check the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Authors,

 

The manuscript “Internet of Things Energy Consumption Optimization in the Buildings: A Step toward Sustainability” is presented. A data transmission model for routing IoT data in intelligent buildings is proposed. In addition, the proposal includes Smart object clustering and meta-heuristics based on PSO as optimization methods to minimize energy consumption in the IoT.

The manuscript is well-organized and redacted. However, the experimental results have several drawbacks. Finally, In my opinion, I suggest that this article should not be accepted as presented. Therefore, I suggest that the following major revisions be considered for acceptance.

 

 

1.  “... in wireless sensor networks as a battery-constrained sensing technology ...”    . It should be changed to “...in wireless sensor networks (WSN) as a battery-constrained sensing technology ...”

 

To be able to use the acronym WFC lines after.

 

2.  The complexity analysis of the standard PSO algorithm is well-known. However,  it is unknown for the FCPSO algorithm proposed. So, the complexity analysis of the FCPSO should be included.

 

3.   To check the efficiency of the proposed algorithm, only 3 testbench functions were used. This is insufficient.  So,  more testbench functions should be included.

 

Suggestion:   In the source code of the JSOA algorithm, 15 testbench functions are included.   https://doi.org/10.3390/math10010102

 

In the source code of the DOA algorithm, 23 testbench functions are included.   https://doi.org/10.1155/2021/9107547

 

 

Use no less than ten functions, including unimodal and multimodal functions (these are included in those Matlab source codes)

 

4. A convergence graph for each testbench problem should be included.   For a testbench function, plot the three algorithms (PSO, CPSO, FCPSO) on the same graph.

 

5. Not enough evidence of the proposed algorithm's performance is shown. So, a statistical analysis is required.

 

Suggestion:   To statistically evaluate obtained results for all algorithms and encoding schemes, Friedman's test and Wilcoxon signed-rank test should be used.

 

Note that the Friedman test can obtain the overall ranks of all algorithms. After using Friedman’s trial, a post hoc analysis is necessary(e.g., Wilcoxon).

When the Friedman test produces a significant result, we can conduct the Wilcoxon tests to pinpoint which pairwise groups have a significant difference (based on their rank sums or rank means)

 

6. The objective function of the problem to be optimized and the constraints handling should be included.  That is to say, the energy consumption function during the data transmission cycle and its constraints should be included.

 

7.  All figures should be updated.  E.g., in Fig. 1-  the axes have no legend,  Fig. 2- the y-axis does not mention the unit of measure  (kilowatt hour,  kwh),   Fig.3 - The volume of data is the Kb? Mb?  Fig.4 -    Kwh,  .. and so on.

 

8.  The results discussion should be based on the statistical results, not only on the figures.  

 

9. The references should be updated.

Author Response

With thanks. Please check the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Dear Editor, I read the manuscript entitled “Internet of Things Energy Consumption Optimization in the Buildings: A Step toward Sustainability”. It has an intriguing premise, but I have some suggestions for how to make it better:
1. The novel aspect of the study's originality must be discussed in every section of the manuscript. Significantly, this information was not effectively communicated in the abstract or introduction.
2. The introduction section must thoroughly explain the study's goals. Please revise them because their current form is inadequately specific.
3. English language and style are spell check required
4. Adding original findings and describing them briefly must be done in the abstract.
5. Recent studies on optimization and the Internet of Things could be cited to strengthen the manuscript.
6. The caption of the figures should be more representative.
7. Some paragraphs are vague. It must be revised in the manuscript.
“However, because the clustering process was stopped after a certain number of iterations were arbitrarily chosen, there were insufficient cluster heads to cover the full sensor region”
“The simulation and evaluation of IoT and PSO, CPSO, and FCPSO information security in smart buildings has been performed using MATLAB software. In addition, the proposed method's results have been compared to those of similar methods. The values of numerous parameters are affected; the values of these parameters are highly dependent on improved convergence.”
“At the start of the simulation, each object's data for transmission to the center is generated at random (Figure 3). Nodes can be regarded in two states, normal nodes 1 and amplifier nodes 2, in a second way of testing the proposed strategy to reduce energy consumption. Here, amplifier nodes refer to a sensor node with surplus energy; in fact, the amplifier node is a positive operator when executing the algorithm on the cost function of the FCPSO algorithm, hence increasing the energy of the amplifier object.”
8. Why is the PSO, FCPSO, … optimization method used? What are the benefits of these methods? It should be clearly stated in the manuscript.
9. There are not sufficient details about the results in the “results and discussion” section. It should be discussed more in-depth.
10. Conclusion section was written poorly. It has to be expressed in a more detailed manner, with the primary emphasis being placed on the primary findings of the study. Suggestions and limitations could be included in the last paragraph of the Conclusion.

Author Response

With thanks. Please check the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors have properly addressed the issues raised in the review.

Reviewer 2 Report

Dear Authors,

 

The manuscript “Internet of Things Energy Consumption Optimization in the Buildings: A Step toward Sustainability” is presented. A data transmission model for routing IoT data in intelligent buildings is proposed. In addition, the proposal includes Smart object clustering and meta-heuristics based on PSO as optimization methods to minimize energy consumption in the IoT.

The manuscript is well-organized and redacted. In addition,  in this second review, the suggested observations were well-solved. Finally, In my opinion, I suggest that this article should be accepted as now presented.

Reviewer 3 Report

I must admit that the authors have responded well to my comments and concerns. But unfortunately, the PDF file of the manuscript had a problem and I had to use the answer file (response file) to the referees for my evaluation.

I request the respected editor to check whether the word file sent by the authors also has a problem or whether the PDF file only has a problem.