Deployment of Fi-Wi Networks Using Teaching Learning Based Optimization Algorithm

Authors

  • Uma Rathore Bhatt Institute of Engineering & Technology, Devi Ahilya University, Indore, India
  • Nitin Chouhan
  • Raksha Upadhyay
  • Chanchal Agrawal

Abstract

Abstract

The demand of bandwidth and mobility to end users is ever increasing. For fulfilling this, fiber-wireless (Fi-Wi) networks are designed by integrating the advantages of optical and wireless networks. Optical networks offer high bandwidth and stability while wireless networks offer cost efficiency and mobility. With these advantages, Fi-Wi networks also offer some challenging issues. There are four key issues in Fi-Wi networks, that are ONU placement, routing, energy saving and survivability. Amongst them, ONU placement is one of the important issues, since ONU is interlink between the fiber technology and wireless technology. ONU transfers the upstream data from wireless to optical line terminal (OLT) and the downstream data from OLT to wireless routers. Lesser the number of ONUs in the network, more is the cost efficiency in that network. For the placement of ONUs, various optimization algorithms are designed and applied. In this paper, an efficient algorithm based on ‘Teaching–Learning-Based Optimization (TLBO)’ is proposed for optimized placement of ONUs in Fi-Wi networks. The effectiveness of the method as compared to the other optimization methods is also explained. The proposed method is algorithm-specific parameter less method. Hence, different design variables do not affect the working of this method. It also results into reduced number of ONUs in Fi-Wi network.

Keywords: FiWi network, optical network unit (ONU), wireless router (WR), teaching-learning-based optimization (TLBO)

Cite this Article

Uma Rathore Bhatt, Nitin Chouhan, Raksha Upadhyay et al. Deployment of Fi-Wi Networks Using Teaching Learning Based Optimization Algorithm. Journal of Communication Engineering & Systems. 2017; 7(2):  14–26p.


Downloads

Published

2019-04-05

Issue

Vol. 7 No. 2 (2017)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.