Dear Prof. Kim:
I write you in regards to manuscript # JCN19-DIV2-019 entitled "Dragonfly-based Swarm System Model for Node Identification of Ultra-reliable Low-latency Communication" which you submitted to the Journal of Communications and Networks.
In view of the criticisms of the reviewer(s) found at the bottom of this letter, your manuscript has been denied publication in the Journal of Communications and Networks. In summary, I was able to recruit two expert Reviewers active in the topic of the manuscript. Unfortunately, both have highlighted several concerns regarding the background, the contextualization and the presentation of the present work, recommending the paper for rejection.
Thank you for considering the Journal of Communications and Networks for the publication of your research. I hope the outcome of this specific submission will not discourage you from the submission of future manuscripts.
Dr. Domenico Ciuonzo
Editor, Journal of Communications and Networks
Reviewer(s)' Comments to Author:
Comments to the Author
The manuscript developed a swarm model to analyse the performance of URLLC system. However, the developed model is general and does not consider the URLLC features, such as message size, noise, and interference. There is no clear motivation of using such model for URLLC use case. The current structure of the manuscript makes it difficult to follow it. For instance, some papers are cited in the introduction section, while they are not relevant to this work. There are many gramatical errors and problems. Some of these as follow.
• Page 1, line 37: improved mobile broadband (eMBB) > enhanced mobile broadband.
• Page 1, line 41: All types of machine-to-machine (M2M) and device-to-machine (D2M) communication have a mission-critical factor associated with them. JUST SOME OF THEM ARE MISSION-CRITICAL APPLICATIONS.
• Page 1, line 24: Ultra reliable low latency communication (URLLC) wireless systems are characterized to have minimum latency. WHAT IS MINIMUM LATENCY?
• Page 2, line 59: Equally, low latency is crucial to ensure applications are (??) usable and interactive whether human-to-human, human-to-machine or machine-to-machine communication.
Comments to the Author
The paper proposed a dragonfly-based swarm algorithm for node identification. Although the idea is interesting, there are significant drawbacks in this paper.
1. In Motivation, the authors mentioned multiobjective optimization. However, it seems that a single objective function has been used (cost function-Latency). Moreover, if multiobjective functions are considered, the performance should be compared with the Pareto-front.
2. In simulations, it is not clear what topology has been used. In fact, there is no information related to networks in the simulation.
3. In Fig. 5, the unit of latency was not provided. Even if it is milliseconds, the latency is not appropriate for URLLC where it should be less than 1ms.
4. 60 nodes are not a large-scale network. For example, the authors in  have considered a network of 1000 nodes.
1. Ref. 33, the author name is not correct.
2. axis in figures are unreadable
 Pham et al.,"Multi-objective multi-constrained QoS Routing in large-scale networks: A genetic algorithm approach", SaCoNet 2018