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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: March 2023

Volume 8 | Issue 3

Impact factor: 8.15

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Paper Title: Two Nature- Inspired Algorithms in Fi-Wi Using Optimal ONU Placement and Traffic Prediction based on Neural Network
Unique Id: IJSDR2303053
Published In: Volume 8 Issue 3, March-2023
Abstract: 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.
Keywords: Fiber Wireless, Networks, Optic, Architecture
Cite Article: "Two Nature- Inspired Algorithms in Fi-Wi Using Optimal ONU Placement and Traffic Prediction based on Neural Network ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.338 - 351, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303053.pdf
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Publication Details: Published Paper ID: IJSDR2303053
Registration ID:204331
Published In: Volume 8 Issue 3, March-2023
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Page No: 338 - 351
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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