| Author: | Han, Ying |
| Title: | Comparisons of different algorithms for indoor wi-fi positioning |
| Advisors: | Chen, Wu (LSGI) |
| Degree: | M.Sc. |
| Year: | 2019 |
| Subject: | Dust storms -- Remote sensing Artificial satellites Hong Kong Polytechnic University -- Dissertations |
| Department: | Faculty of Construction and Environment Department of Land Surveying and Geo-Informatics |
| Pages: | [62] pages : color illustrations |
| Language: | English |
| Abstract: | With the rapid growth of smart phones and the development of technology, almost all smart phones are equipped with high-sensitivity GPS, Wi-Fi and Bluetooth functions. Therefore, location-based services (LBS) for many applications in smartphones have become essential and necessary. With the development of IEEE802.11 technology, wireless local area network (WLAN) and Wi-Fi signals can be seen everywhere. Indoor positioning via Wi-Fi signal will be the most popular and convenient way in the future. The main advantage of localization based on Wi-Fi is that it provides a particularly cost-effective solution for LBS in indoor and outdoor environments. This dissertation develops a Wi-Fi indoor positioning application based on Android platform, and compares three algorithms. Firstly, this dissertation will overview most of the indoor Wi-Fi positioning technology, which mainly based on RSS with two major methods to achieve: trilateration and fingerprinting. Both methods will be introduced in literature review and the fingerprinting method will be choose for further develop as it has higher accuracy. Three different positioning algorithms will be used in the positioning phase and the results of these algorithms will be discussed and compared. The best algorithm with most stability and most accuracy will be further applied in other Apps for different purposes, such as finding departure gate in an international airport, guiding tourists to a particular store or the toilet in a big shopping mall, and locating an old patient who has Alzheimer's disease in a hospital or in a nursing home. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 991022385444303411.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.78 MB | Adobe PDF | View/Open |
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