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Energy Optimisation Through Machine Learning in Wireless Networks

Denga, Adarsh Aaron (2021) Energy Optimisation Through Machine Learning in Wireless Networks.

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Abstract: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.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:01 general works, 02 science and culture in general, 50 technical science in general, 54 computer science
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/86883
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