碩士 / 國立臺北科技大學 / 電子工程系研究所 / 103 / With the rise of interest of things (IoTs), indoor positioning system has drawn more attention nowadays. The global positioning system (GPS) has limitations when tracking person indoor. The Bluetooth (BLE) node embedded with the light source forms a location based mesh network (LBMN) and provide indoor positioning information to the BLE tag. With the help from BLE to WiFi bridge, the IoT is connected to the Internet. In this thesis, we propose an indoor navigation algorithm to take advantage of the LBMN. The Dijkstra’s algorithm is utilized for path planning and people finding. The advantages of the proposed algorithm are as follows: (1) The path planning takes advantages of the arrangement of lightening to provide an edge for the Dijkstra’s algorithm. (2) The system can provide more completed data by displaying the absolute longitude, latitude, and height (3) The path planning can be conducted immediately. The proposed algorithm is implemented on the iOS to provide a simple and user-friendly user interface. The situation of the localization error impact on the indoor navigation is also
investigated on when to re-navigation. The result shows that iOS APP can displays BLE nodes, the distance between two BLE, the shortest path which people want to go and people’s location.
| Identifer | oai:union.ndltd.org:TW/103TIT05427088 |
| Creators | Meng-Kang Wu, 吳孟剛 |
| Contributors | Po-Hsuan Tseng, 曾柏軒 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
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