Loading...
An indoor positioning system using multiple methods and tools
Author(s)
Sehloho, Nobaene Elizabeth
Date Issued
2015
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
Recently, the deployment and availability of wireless technology have led to the development of location and positioning services. These Location Based Services (LBSs) are attracting the attention of researchers and mobile service providers. With the importance of ubiquitous computing, the main challenge seen in the LBS is in the mobile positioning or localization within reasonable and certain accuracy. The Global Positioning System (GPS), as a widely known and used navigation system, is only appropriate for use in outdoor environments, due to the lack of line-of-sight (LOS) in satellite signals that they cannot be used accurately inside buildings and premises. Apart from GPS, Wi-Fi is among others, a widely used technology as it is an already existing infrastructure in most places. This work proposes and presents an indoor positioning system. As opposed to an Ad-hoc Positioning System (APS), it uses a Wireless Mesh Network (WMN). The system makes use of an already existing Wi-Fi infrastructure. Moreover, the approach tests the positioning of a node with its neighbours in a mesh network using multi-hopping functionality. The positioning measurements used were the ICMP echo requests, RSSI and RTS/CTS requests and responses. The positioning method used was the trilateral technique, in combination with the idea of the fingerprinting method. Through research and experimentation, this study developed a system which shows potential as a positioning system with an error of about 2 m – 3 m. The hybridization of the methods proves an enhancement in the system though improvements are still required
Additional information
Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2015.
File(s)![Thumbnail Image]()
Loading...
Name
209110902_Sehlono_NE_MTech_IT_FID_2016.doc
Description
Thesis
Size
4.48 MB
Format
Microsoft Word
Checksum
(MD5):12f396f71284aa8ca902a3391cd9fe3e