Abstract
Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location Fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure. In this paper, a sensor-based LF method will be implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory. Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.
Original language | English |
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Title of host publication | Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009 |
Pages | 538-542 |
Number of pages | 5 |
Volume | 1 |
DOIs | |
Publication status | Published - 20 Apr 2009 |
Event | 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009 - Kunming, Yunnan, China Duration: 6 Jan 2009 → 8 Jan 2009 |
Conference
Conference | 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009 |
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Country/Territory | China |
City | Kunming, Yunnan |
Period | 6/01/09 → 8/01/09 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Electrical and Electronic Engineering