kumoh national institute of technology
Networked Systems Lab.

Philip Tobianto Daely, Soo Young Shin, and Dong-Seong Kim, "DA-APSO: A Hybrid Bio-Inspired Algorithm for Localization in Wireless Sensor Network", IEEE Sensors Journal, 2019. (Rejected)
By : Philip TD
Date : 2019-08-05
Views : 226

Paper:Sensors-27845-2019, DA-APSO: A Hybrid Bio-Inspired Localization Algorithm for Industrial Wireless Sensor Network

Dear Prof. Kim,

I am writing to you concerning the above-referenced manuscript, which you submitted to the IEEE Sensors Journal.

Based on an initial reviews, this manuscript has not been recommended for publication. The paper considers an optimization localization algorithm for industrial wireless sensor networks (WSNs), that combines Dragonfly Algorithm (DA) and Particle Swarm Optimization (PSO). The authors have published much of this work in references [9] and Bio-Inspired Cooperative Localization in Industrial Wireless Sensor Network, IEEE International Workshop on Factory Communication Systems. It is unclear what new aspects are added beyond these published works, especially the latter one. As an additional note, the manuscript needs to be proof-read carefully to fix grammatical issues.

While the decision of the Associate Editor may not be positive, based on the comments of the reviewers, you may wish to consider and implement changes suggested in these comments. The current decision does not bias any future submission of a rework as a new manuscript; however, if received by this journal, this new manuscript will be moved to peer review only if it shows noticeable changes and improvements compared to the currently rejected manuscript.

Thank you for considering IEEE Sensors Journal for publication of your work.

If you have any questions regarding the reviews or this decision, please contact me directly. Any other support questions should be directed to l.young@ieee.org.


Dr. Ashish Pandharipande
Associate Editor, IEEE Sensors Journal