Optimising wireless network throughput using ML techniques at 2.4GHz ISM band

Optimising wireless network throughput using ML techniques at 2.4GHz ISM band

This project is concerned with optimizing performance of wireless networks at 2.4GHz ISM band by using Machine Learning techniques to improve throughput. Inevitably at this ISM band, there will be interference when multiple networks such as IEEE802.11 and Bluetooth connections are running conc...

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Bibliographic Details
Main Author: Jin, Lin
Other Authors: Law Choi Look
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering
Online Access:https://hdl.handle.net/10356/177067
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-177067
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spelling sg-ntu-dr.10356-1770672024-05-24T15:44:43Z Optimising wireless network throughput using ML techniques at 2.4GHz ISM band Jin, Lin Law Choi Look School of Electrical and Electronic Engineering ECLLAW@ntu.edu.sg Engineering This project is concerned with optimizing performance of wireless networks at 2.4GHz ISM band by using Machine Learning techniques to improve throughput. Inevitably at this ISM band, there will be interference when multiple networks such as IEEE802.11 and Bluetooth connections are running concurrently. Hence the purpose of this project will be to improve the performance of the target network. The initiate stage of the project will be to set up a simulated network and capture throughput values. Subsequently, Machine Learning techniques will be used for channel analysis to predict and detect a better channel for the network to hop to. Bachelor's degree 2024-05-23T11:56:21Z 2024-05-23T11:56:21Z 2024 Final Year Project (FYP) Jin, L. (2024). Optimising wireless network throughput using ML techniques at 2.4GHz ISM band. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177067 https://hdl.handle.net/10356/177067 en A3085-231 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Jin, Lin
Optimising wireless network throughput using ML techniques at 2.4GHz ISM band
description This project is concerned with optimizing performance of wireless networks at 2.4GHz ISM band by using Machine Learning techniques to improve throughput. Inevitably at this ISM band, there will be interference when multiple networks such as IEEE802.11 and Bluetooth connections are running concurrently. Hence the purpose of this project will be to improve the performance of the target network. The initiate stage of the project will be to set up a simulated network and capture throughput values. Subsequently, Machine Learning techniques will be used for channel analysis to predict and detect a better channel for the network to hop to.
author2 Law Choi Look
author_facet Law Choi Look
Jin, Lin
format Final Year Project
author Jin, Lin
author_sort Jin, Lin
title Optimising wireless network throughput using ML techniques at 2.4GHz ISM band
title_short Optimising wireless network throughput using ML techniques at 2.4GHz ISM band
title_full Optimising wireless network throughput using ML techniques at 2.4GHz ISM band
title_fullStr Optimising wireless network throughput using ML techniques at 2.4GHz ISM band
title_full_unstemmed Optimising wireless network throughput using ML techniques at 2.4GHz ISM band
title_sort optimising wireless network throughput using ml techniques at 2.4ghz ism band
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177067
_version_ 1800916193405566976

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