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Proceedings Paper

WAX-ROOM: an indoor WSN-based localization platform
Author(s): S. A. Mitilineos; J. N. Goufas; O. E. Segou; S. C. A. Thomopoulos
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Paper Abstract

Indoor localization is considered to be a key aspect of future context-aware, ubiquitous and pervasive systems, while Wireless Sensor Networks (WSNs) are expected to constitute the critical infrastructure in order to sense and interact with the environment surrounding them. In the context of developing ambient-assisted living and aftermath crisis mitigation services, we are implementing WAX-ROOM, a WSN specially developed for indoor localization but at the same time able to sense and interact with the environment. Currently, WAX-ROOM incorporates three different localization techniques and an optimal fusion rule. The proposed WSN's architecture and advantages, as well as measurements results regarding its performance in terms of localization accuracy are presented herein, demonstrating the eligibility of the proposed platform for indoor localization.

Paper Details

Date Published: 27 April 2010
PDF: 10 pages
Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970X (27 April 2010); doi: 10.1117/12.850098
Show Author Affiliations
S. A. Mitilineos, Institute of Informatics and Telecommunications (Greece)
J. N. Goufas, Institute of Informatics and Telecommunications (Greece)
O. E. Segou, Institute of Informatics and Telecommunications (Greece)
S. C. A. Thomopoulos, Institute of Informatics and Telecommunications (Greece)


Published in SPIE Proceedings Vol. 7697:
Signal Processing, Sensor Fusion, and Target Recognition XIX
Ivan Kadar, Editor(s)

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