Uma Técnica Cognitiva Com Histórico e Janela Deslizante para Adaptação de Parâmetros em Redes LoRa

  • Ronaldo Modesto UFJF
  • Lucas Figueiredo UFJF
  • Edelberto Franco Silva UFJF

Abstract


Sub-GHz communications technologies have been arised to provide long range coverage at low complexity and costs. Amongst the existing solutions, the LoRa® has been considered as one of the most promising ones. Its main application is to allow ubiquitous connectivity to outdoor IoT. However, it must be considered factors that directly influences these type of communication, such as frequency, spreading factor, bandwidth and coding rate. In this paper, we have considered LoRa's physical layer characteristics with an observation history of SNR throught a sliding window to automatically change of configuration. The obtained results from a real scenario shows that the sliding window technique presented, on its best configuration, a relative reduction of 16, 26% on average on frequency changing number and a relative increase of 36, 73% on average on SNR gain to that same configuration, when compared to the windowless technique.

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Published
2021-08-16
MODESTO, Ronaldo; FIGUEIREDO, Lucas; SILVA, Edelberto Franco. Uma Técnica Cognitiva Com Histórico e Janela Deslizante para Adaptação de Parâmetros em Redes LoRa. In: BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 39. , 2021, Uberlândia. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 812-825. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc.2021.16765.

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