Abstract
Localization systems for indoor areas using the existing wireless local area network (WLAN) infrastructure have been suggested recently. However, the current systems are not satisfactory. Common localization approaches suffer from inaccurate position tracking due to signal fluctuations in the wireless LAN. Newton Trust-Region method makes use of the convergence factor of a trajectory to eliminate the noise from the signal strength. In this paper, we apply a Newton Trust-Region (TR) algorithm to trajectory estimation based on the traditional Location Fingerprinting (localization) approach. Newton TrustRegion method optimize the Location Fingerprinting approach iteratively because each point in a trajectory normally falls into a region and have the same convergence in direction. Our experimental analysis shows that Newton Trust-Region method enhances the traditional localization approach with 15% fewer access points and is 20% more effective to achieve accurate localization. The proposed Newton Trust-Region method leads to substantially more accurate and robust localization system.
Original language | English |
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Title of host publication | WiMob 2009 - 5th IEEE International Conference on Wireless and Mobile Computing Networking and Communication |
Pages | 363-369 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 1 Dec 2009 |
Event | 5th IEEE International Conference on Wireless and Mobile Computing Networking and Communication, WiMob 2009 - Marrakech, Morocco Duration: 12 Oct 2009 → 14 Oct 2009 |
Conference
Conference | 5th IEEE International Conference on Wireless and Mobile Computing Networking and Communication, WiMob 2009 |
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Country/Territory | Morocco |
City | Marrakech |
Period | 12/10/09 → 14/10/09 |
Keywords
- Location Fingerprinting
- Newton Trust-Region
ASJC Scopus subject areas
- Computer Networks and Communications
- Software
- Communication