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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/177067 |
| _version_ | 1826112786214682624 |
|---|---|
| author | Jin, Lin |
| author2 | Law Choi Look |
| author_facet | Law Choi Look Jin, Lin |
| author_sort | Jin, Lin |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T03:12:29Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/177067 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:12:29Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering Jin, Lin Optimising wireless network throughput using ML techniques at 2.4GHz ISM band |
| title | 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_short | 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 |
| topic | Engineering |
| url | https://hdl.handle.net/10356/177067 |
| work_keys_str_mv | AT jinlin optimisingwirelessnetworkthroughputusingmltechniquesat24ghzismband |