Wireless network throughput improvement using machine learning technique
This project presents a viable method to optimize the wireless network by identifying the congestion level using machine learning techniques so that the user can switch to a network with lower congestion, to achieve a much higher network throughput. The data collected for machine learning is done wi...
Saved in:
Main Author: | Shyu, Zi Xun |
---|---|
Other Authors: | Law Choi Look |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176331 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Intelligent heterogeneous wireless network using machine learning techniques
by: Lim, Michelle Ming Min
Published: (2021) -
Intelligent heterogeneous wireless network using machine learning techniques
by: Chew, Kai Yu
Published: (2021) -
Robust surveillance of animal diseases: An application to the detection of bluetongue disease
by: Souza Monteiro, D.M., et al.
Published: (2014) -
Does compressed sensing improve the throughput of wireless sensor networks?
by: Liu, Xiang., et al.
Published: (2011) -
Intelligent heterogeneous wireless network using machine learning techniques
by: Ko, Sandra Shi Hui
Published: (2022)