English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52355/87459 (60%)
Visitors : 9126227      Online Users : 307
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105826

    Title: 藍牙定位演算法之評估研究
    Other Titles: Evaluation of M2M-based proximity service algorithms using bluetooth network
    Authors: 劉建志;Liu, Chien-Chih
    Contributors: 淡江大學電機工程學系碩士在職專班
    Keywords: 藍牙;室內定位;演算法;實測;Bluetooth;Indoor location;Algorithm;field measurement
    Date: 2015
    Issue Date: 2016-01-22 15:06:16 (UTC+8)
    Abstract: 目前由於網際網路的成長造就手機市場的蓬勃發展,智慧型手機及無線通訊的相關應用也越來越多(包含WiFi, 藍牙, 3G/4G行動上網)。藍牙由於有普及率高及低功耗的特性, 因此成為多數室內定位相關研究的選擇, 而傳統的藍牙由於傳輸距離的限制, 因此在室內定位的議題上面的限制相對較大, 通常用於近距離偵測, 而在藍牙4.0後由於傳輸距離的增加, 也賦予藍牙室內定位應用的更多機會。
    本論文實作在Android 手機上透過接收藍牙RSSI(received signal strength indicator)強弱以定義兩個裝置相對距離的遠近, 透過實作三種演算法來探討當距離改變對RSSI訊號的影響。
    The applications of wireless communication systems (WiFi, Bluetooth, 3G / 4G networks) are booming for the growth of internet. The indoor positioning technologies using the Bluetooth 4.0 are the very important in the proximity services. We have implemented the Android APP to indicate the relative distance between the several Bluetooth devices via receiving the RSSI(Received Signal Strength Indicator).
    Appears in Collections:[電機工程學系暨研究所] 學位論文

    Files in This Item:

    File Description SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback