Alocação de recursos em sistemas Internet das Coisas utilizando aprendizagem por reforço
Gorde:
| Egile nagusia: | |
|---|---|
| Argitaratze data: | 2021 |
| Formatua: | Master thesis |
| Hizkuntza: | por |
| Baliabidea: | Repositório Institucional da UFG |
| Download full: | http://repositorio.bc.ufg.br/tede/handle/tede/11751 |
Gaia: | 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. |