Zero-configuration indoor localization over IEEE 802.11 wireless infrastructure

With the technical advances in ubiquitous computing and wireless networking, there has been an increasing need to capture the context information (such as the location) and to figure it into applications. In this paper, we establish the theoretical base and develop a localization algorithm for building a zero-configuration and robust indoor localization and tracking system to support locationbased network services and management. The localization algorithm takes as input the on-line measurements of received signal strengths (RSSs) between 802.11 APs and between a client and its neighboring APs, and estimates the location of the client. The on-line RSS measurements among 802.11 APs are used to capture (in real-time) the effects of RF multi-path fading, temperature and humidity variations, opening and closing of doors, furniture relocation, and human mobility on the RSS measurements, and to create, based on the truncated singular value decomposition (SVD) technique, a mapping between the...

• Type: Journal
• Year: 2010
• Where: WINET
• Authors: Hyuk Lim, Lu-Chuan Kung, Jennifer C. Hou, Haiyun Luo
• Keywords: Actual Geographical Distances, Information Technology, Rss Measurement, Singular Value Decomposition, WINET 2010