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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 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ChewKaiYu_FYP_finalreport.pdf Restricted Access | 1.7 MB | Adobe PDF | View/Open |
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