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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/109071

    題名: Improving Wi-Fi Indoor-Positioning Accuracy by Using AP Selection and Adaptive Pattern Matching
    作者: Hung, Chi-Fu, Tuan, Chiu-Ching;Jhuang, Fong-Mao
    關鍵詞: Access Point Selection;Adaptive Pattern-matching;Indoor Positioning;Received Signal Strength;Box Plot
    日期: 2016-09
    上傳時間: 2017-01-03 09:39:46 (UTC+8)
    出版者: 淡江大學出版中心
    摘要: This study proposes a method based on access point (AP) selection and adaptive
    pattern-matching for Wi-Fi indoor positioning (ASAPM). In the proposed ASAPM, a box plot
    algorithm is used to remove received signal strength (RSS) outliers in samples received from APs in
    order to smooth the RSS. Subsequently, we analyzed the RSS variations for selecting the top-N APs
    with the least interference. Moreover, we analyzed the history of the positioning results to estimate the
    direction and distance of users in subsequent positions in order to reduce the pattern-matching time
    and computational overhead of the positioning system. The simulation results revealed that the
    average positioning error, average maximum positioning error, and average pattern-matching times of
    ASAPM were 36%, 51%, and 57% lower than the three compared strategies, respectively. These
    findings show that ASAPM could reduce the computational overhead; moreover, it is suitable as an
    indoor-positioning service for mobile devices.
    關聯: Journal of Applied Science and Engineering 19(3), pp.337-346
    DOI: 10.6180/jase.2016.19.3.12
    顯示於類別:[淡江理工學刊] 第19卷第3期


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