Two Nature- Inspired Algorithms in Fi-Wi Using Optimal ONU Placement and Traffic Prediction based on Neural Network

MANJULA GIRISH EMMI , NAGARAJU C

Fiber Wireless, Networks, Optic, Architecture

Fibre Wireless (Fi-Wi) access technology integrates the existing broadband access technology and wireless access technology to fulfil the users’ demand for better Internet speed in “anytime anywhere” approach and cost-efficient manner. It is designed to make the best use of their advantages in terms of vast bandwidth, mobility, and cost effectiveness. However, there remain there remain several open and challenging issues that require concentrated research efforts to build such an access technology. ONU placement problem is one among these issues as ONU placement in Fi-Wi plays a critical role in overall network deployment cost and resource optimization. Server methods using nature-inspired algorithms have been proposed in literature to find optimum ONU placement. We also implement a dynamic resource allocation based on a traffic perdition algorithm to improve network performance during a rapid traffic spike in the optical network. In this paper, we present performance analysis of the two nature-inspired algorithms by considering different of scenarios for ONUs and wireless routers in a FiWi network. We also compare present throughput gain for the algorithms when dynamic resource allocation is used under varied ONU and router deployment.

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"Two Nature- Inspired Algorithms in Fi-Wi Using Optimal ONU Placement and Traffic Prediction based on Neural Network ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.338 - 351, March-2023, Available :https://ijsdr.org/papers/IJSDR2303053.pdf

Volume 8 Issue 3, March-2023

Pages : 338 - 351

Paper Reg. ID: IJSDR_204331

Published Paper Id: IJSDR2303053

Downloads: 000347152

Research Area: Engineering

Country: BANGALORE, KARNATAKA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303053

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303053

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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