Energy Optimisation Through Machine Learning in Wireless Networks

The world around us is filled with internet of things (IoT) devices trying to communicate with each other, often in environments that are dynamic and unknown. Thus, there is a need for the behaviour of these devices to be altered such that the quality of service (QoS) of these devices is maximised. This research will focus on researching the multi-armed bandit to optimise the energy usage of the nodes in a wireless network in order to maximise the longevity of individual nodes. The implementation of this project will involve gathering data from OMNeT++ and running the multi-armed bandit to optimise behaviour of a node and derive results from.