Paper
27 April 2010 WAX-ROOM: an indoor WSN-based localization platform
S. A. Mitilineos, J. N. Goufas, O. E. Segou, S. C. A. Thomopoulos
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. A. Mitilineos, J. N. Goufas, O. E. Segou, and S. C. A. Thomopoulos "WAX-ROOM: an indoor WSN-based localization platform", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970X (27 April 2010); https://doi.org/10.1117/12.850098
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Cited by 6 scholarly publications.
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KEYWORDS
Received signal strength

Sensor networks

Sensors

Chromium

Environmental sensing

Antennas

Data fusion

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