论文标题
locatizacao em Ambientes Internos Utilizando Redes Wi-Fi
Localizacao em ambientes internos utilizando redes Wi-Fi
论文作者
论文摘要
本文提出了一种用于室内环境的本地化方法，该方法能够提高IEEE 802.11网络RSSI中不稳定的位置准确性。该方法在数据表示中采用K-Nearest邻居（KNN）算法和四分位数分析。该提案的误差为无效，每个AP的每个样本仅为4个AP，仅需0.69秒即可找到。这些值是重要的贡献，证实该方法有望在室内环境中定位对象。
This 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 just 0.69 second to locate. These values are important contributions, confirming that the method is promising to locate objects in indoor environments.
