Nova proposta para quantificação de QoS em função das características de configuração LoRaWAN

This paper proposes to determine the number of different Quality of Service (QoS) by analyzing the characteristics of the set of LoRaWAN configurations by combining the gap statistic with Fuzzy C-Means (FCM) and elbow with K-means algorithm methods. Additionally, grouping was performed with FCM based on the Bit Error Rate (BER), Received Signal Strength Indicator (RSSI), and Time on Air (ToA) metrics. The results determined appropriate groupings according to the different types of QoS based on the combination of methods, while FCM allowed grouping the applications with similar QoS.