Localização em Ambientes Internos Utilizando Redes Wi-Fi
David Alan de Oliveira Ferreira, Celso Barbosa Carvalho, Edjair S. Mota
Evento: XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2019)
Keywords: Localização interna kNN Wi-Fi Quartis
AbstractThis paper presents a localization method for indoor environments capable of improving the location accuracy that is hampered by instability in RSSI of the IEEE 802.11 networks. The method employs the k-Nearest Neighbors (kNN) algorithm and quartiles analysis in the data representation. The proposal had null error with only four APs and 10 readings per sample of each AP with 17.27 seconds of processing time. These values are important contributions, confirming that the method is promising to locate objects in indoor environments.