• Title/Summary/Keyword: EWKNN (Enhanced Weighted K Nearest Neighbor)

Search Result 1, Processing Time 0.019 seconds

The Design and Implementation of Location Information System using Wireless Fidelity in Indoors (실내에서 Wi-Fi를 이용한 위치 정보 시스템의 설계 및 구현)

  • Kwon, O-Byung;Kim, Kyeong-Su
    • Journal of Digital Convergence
    • /
    • v.11 no.4
    • /
    • pp.243-249
    • /
    • 2013
  • In this paper, GPS(Global Positioning System) that can be used outdoors and GPS(Global Positioning System) is not available for indoor Wi-Fi(Wireless Fidelity) using the Android-based location information system has been designed and implemented. Pedestrians in a room in order to estimate the location of the pedestrian's position, regardless of need to obtain the absolute position and relative position, depending on the movement of pedestrians in a row it is necessary to estimate. In order to estimate the initial position of the pedestrian Wi-Fi Fingerprinting was used. Most existing Wi-Fi Fingerprinting position error small WKNN(Weighted K Nearest Neighbor) algorithm shortcoming EWKNN (Enhanced Weighted K Nearest Neighbor) using the algorithm raised the accuracy of the position. And in order to estimate the relative position of the pedestrian, the smart phone is mounted on the IMUInertial Measurement Unit) because the use did not require additional equipment.