Dettagli Bibliografici
| Autore principale: |
Vasconcelos, Matheus Matos |
| Data di pubblicazione: |
2021 |
| Natura: |
Master thesis
|
| Lingua: |
por |
| Fonte: |
Repositório Institucional da UFG |
| Download full: |
http://repositorio.bc.ufg.br/tede/handle/tede/11751
|
Riassunto: |
This paper proposes a utilization of a reinforcement learning (RL) algorithm to control the packet transmission of multiple devices of a Cognitive Internet of Things (IoT) wireless communication system. The proposed approach consists of adopting a Markov chain to model the states of the communication system and its transitions, providing the required parameters to determine actions to the system using a Q-Learning algorithm. This paper also presents a performance evaluation of the developed algorithm in comparison to some scheduling algorithms in terms of: utility function, flow rate, buffer occupancy, packet loss rate, etc. |
