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論文中文名稱:以低耗電藍牙裝置之訊號強度為基礎的室內定位方法設計與分析 [以論文名稱查詢館藏系統]
論文英文名稱:Design and Analysis of Indoor Localization Based on Received Signal Strength Indicator of Bluetooth Low Energy Devices [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:管理學院
系所名稱:資訊管理研究所
畢業學年度:102
出版年度:103
中文姓名:朱炳燁
英文姓名:PING-YEH CHU
研究生學號:101938004
學位類別:碩士
語文別:中文
口試日期:2014-07-01
論文頁數:41
指導教授中文名:陳育威
指導教授英文名:Yu-Wei Chen
口試委員中文名:陳世賢;吳建文
口試委員英文名:SHIH-HSIEN CHEN;Chien-Wen Wu
中文關鍵詞:室內定位感測器網路低耗電藍牙行動裝置三角定位
英文關鍵詞:Indoor localizationwireless sensor networkBluetooth low energymobile devicetriangulation
論文中文摘要:隨著行動裝置的興起,許多建立在行動裝置上的服務也越來越普及,其中受矚目的服務之一就是適地性服務 (Location Based Service, LBS),LBS的重點之一就是定位的問題,也就是「如何取得使用者的所在地」。定位的種類大致上可以分為室外定位與室內定位,在室外的定位大多是以GPS為基礎的方式來達成取得使用者位置的目的,但在室內GPS無法發揮很大的效果。室內定位其中一個方法就是無線感測器網路 (wireless sensor network, WSN),無線感測器網路上經常遇到的問題是硬體成本、數量與監控環境的範圍的權衡,以及無線訊號容易受到環境的干擾。
本論文提出一個建立在無線感測器網路上的定位法,此感測器網路的架構是由搭載藍牙4.0模組的裝置作為固定節點,移動節點則是具有藍牙功能的行動裝置,此架構的優點在於藍牙節點本身成本低廉、藍牙4.0的低耗電傳輸模式下的省電、以及藍牙在行動裝置上的普及性。在定位的演算法方面使用多種方式組合,如兩步驟遞迴定位法之環境參數建模、三角定位法、以及利用監測環境的地圖資訊進行路徑配對等。本論文期望利用藍牙4.0低成本、低功耗、普及性等等的硬體特性,加上以訊號為基礎的各種方法的組合下,達到簡單的運算與操作即可有一定精準度的結果。
經過實驗找出了六組可以在不分藍牙訊號發射器數量,且不分採樣點位置的實驗環境下達成8成定位結果位於三公尺精準度的結果,並分析出方法組合中變化的影響,以及對實驗環境影響進行探討。
論文英文摘要:With the blossom of smart mobile devices, more and more content provider provides location based service on mobile device. When users are in indoor environment, we need to use another way to get user’s location. Wireless sensor network (WSN) is a popular method in indoor location. However, there are some problems in WSN – how to get balance in hardware cost, number of devices, signal coverage, and the multipath effect problem. This thesis proposes a location method based on RSSI of Bluetooth low energy (BLE) devices of which advantages are low device cost, energy conservation, and high popularity. The BLE devices are used as fixed nodes and mobile nodes in the WSN environment for the proposed location method. The main concept of the proposed location method is combining some low complexity RSSI based location algorithms, e.g., triangulation, map data based location method, and so on. Thus, there exist more than one hundred combinations. In the experiment result, we find that six methods achieve 80 percent location errors less than three meters. Further, we also discuss the effects of test environment and different combinations.
論文目次:摘 要 i
ABSTRACT ii
誌謝 iii
目 錄 iv
表目錄 v
圖目錄 vi
第一章 緒論 1
第二章 文獻探討 3
2.1 以全球定位系統為基礎的定位應用 3
2.2以藍芽為基礎的定位應用 4
2.3以RSSI為基礎的定位應用 4
2.3.1與RSSI有關的研究 4
2.3.2 以無線通道模型為基礎的應用 5
2.3.3 以粒子濾波器為基礎的應用 6
2.3.4以指紋法為基礎的應用 7
第三章 定位機制 10
3.1 環境參數建立 11
3.2 變動場域 13
3.3 三角定位法 15
3.4 取樣次數 18
3.5 地圖資訊修正 18
第四章 實驗結果與分析 22
4.1 實驗配置 22
4.2 實驗結果 24
4.3 環境影響探討 35
第五章 結論 38
參考文獻 39
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論文全文使用權限:同意授權於2014-08-04起公開