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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/150102 |
| Summary: | 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. |
|---|