Intelligent heterogeneous wireless network using machine learning techniques

This project aims to optimize performance of a MESH network on IEEE 802.15.4. By optimization, it refers to lower interference from other devices and better running performance on the network. This project showcases a stimulated MESH network using Raspberry Pi 3B+ running on batman-adv and tested...

Full description

Saved in:

Bibliographic Details
Main Author:	Chew, Kai Yu
Other Authors:	Law Choi Look
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2021
Subjects:	Engineering::Electrical and electronic engineering::Wireless communication systems
Online Access:	https://hdl.handle.net/10356/150102
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-150102
record_format	dspace
spelling	sg-ntu-dr.10356-1501022023-07-07T18:32:48Z Intelligent heterogeneous wireless network using machine learning techniques Chew, Kai Yu Law Choi Look School of Electrical and Electronic Engineering ECLLAW@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems This project aims to optimize performance of a MESH network on IEEE 802.15.4. By optimization, it refers to lower interference from other devices and better running performance on the network. This project showcases a stimulated MESH network using Raspberry Pi 3B+ running on batman-adv and tested for optimization. A main control system runs a script, using means of python language, to scan information from nodes and process the information. Through SSH, the main system can pass commands to alter the network for improvement. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-09T01:16:45Z 2021-06-09T01:16:45Z 2021 Final Year Project (FYP) Chew, K. Y. (2021). Intelligent heterogeneous wireless network using machine learning techniques. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150102 https://hdl.handle.net/10356/150102 en A3110-201 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::Electrical and electronic engineering::Wireless communication systems
spellingShingle	Engineering::Electrical and electronic engineering::Wireless communication systems Chew, Kai Yu Intelligent heterogeneous wireless network using machine learning techniques
description	This project aims to optimize performance of a MESH network on IEEE 802.15.4. By optimization, it refers to lower interference from other devices and better running performance on the network. This project showcases a stimulated MESH network using Raspberry Pi 3B+ running on batman-adv and tested for optimization. A main control system runs a script, using means of python language, to scan information from nodes and process the information. Through SSH, the main system can pass commands to alter the network for improvement.
author2	Law Choi Look
author_facet	Law Choi Look Chew, Kai Yu
format	Final Year Project
author	Chew, Kai Yu
author_sort	Chew, Kai Yu
title	Intelligent heterogeneous wireless network using machine learning techniques
title_short	Intelligent heterogeneous wireless network using machine learning techniques
title_full	Intelligent heterogeneous wireless network using machine learning techniques
title_fullStr	Intelligent heterogeneous wireless network using machine learning techniques
title_full_unstemmed	Intelligent heterogeneous wireless network using machine learning techniques
title_sort	intelligent heterogeneous wireless network using machine learning techniques
publisher	Nanyang Technological University
publishDate	2021
url	https://hdl.handle.net/10356/150102
_version_	1772828430698545152

Intelligent heterogeneous wireless network using machine learning techniques

Similar Items