Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150102
Title: Intelligent heterogeneous wireless network using machine learning techniques
Authors: Chew, Kai Yu
Keywords: Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2021
Publisher: Nanyang Technological University
Source: 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
Project: A3110-201
Abstract: 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.
URI: https://hdl.handle.net/10356/150102
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
ChewKaiYu_FYP_finalreport.pdf
  Restricted Access
1.7 MBAdobe PDFView/Open

Page view(s)

117
Updated on Jul 1, 2022

Download(s)

2
Updated on Jul 1, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.