A New Swarm Source Seeking Behavior based-on Pattern Recognition Approach

Authors

  • Siti Nurmainia Sriwijaya University, Palembang, Indonesia, Robotic and Control Research Lab, Computer Engineering Depart. Faculty of Computer Science.
  • Bambang Tutukoa Sriwijaya University, Palembang, Indonesia, Robotic and Control Research Lab, Computer Engineering Depart. Faculty of Computer Science.
  • Aditya PP Sriwijaya University, Palembang, Indonesia, Robotic and Control Research Lab, Computer Engineering Depart. Faculty of Computer Science.

Keywords:

Swarm Robots, Odor Localization, Pattern Recognition, FKN-PSO,

Abstract

Recent advances in swarm robots have started making it feasible to deploy large numbers of inexpensive robots for odor localization tasks. However, coordination of swarm robots to accomplish such tasks remains a challenging problem. Due to this, there are uncertainties in the environment and in the robot itself. To make an easy and efficient swarm coordination strategy for odor localization tasks, distributed algorithm-based pattern recognition combined with swarm intelligent approach has been developed. A new simple algorithm of Fuzzy-Kohonen Networks and Particle Swarm Optimization (FKN-PSO) to achieve the odor source is presented in this paper. This paper demonstrates a group of real simple robots that are under fully distributed control can successfully search, track and find a real odor plume. The results were compared between FKN-PSO and Fuzzy-PSO to analyze the performance of the swarm robots in the process of localization. It was found that the proposed approach produces a simple algorithm, and it can solve the odor localization task more efficiently than Fuzzy-PSO. Moreover, it is suitable to be implemented on real robots to localize the source of odor in a short time, and the swarm robots have the ability for keeping formation in the group without collision.

Downloads

Published

2017-03-15

How to Cite

Nurmainia, S., Tutukoa, B., & PP, A. (2017). A New Swarm Source Seeking Behavior based-on Pattern Recognition Approach. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-4), 71–76. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1783

Issue

Vol. 9 No. 1-4: Smart City Technology in Communication and Computer Engineering II

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.