Intelligent heterogeneous wireless network using machine learning techniques

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.