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Unified Fingerprinting/Ranging Localization in Harsh Environments: Profile on PlumX
Título : Unified Fingerprinting/Ranging Localization in Harsh Environments
Autor(es) : Prieto Tejedor, Javier
de Paz Santana, Juan F.
Villarrubia González, Gabriel
de la Prieta Pintado, Fernando
Corchado Rodríguez, Juan M.
Palabras clave : Computer Science
Fecha de publicación : 2015
Citación : International Journal of Distributed Sensor Networks . Volumen 2015, pp. 1-11.
Resumen : Context-awareness in wireless sensor networks (WSNs) relies mainly on the position of objects and humans. The provision of this positional information becomes challenging in the harsh environmental conditions where WSNs are commonly deployed. With an antagonistic philosophy of design, fingerprinting and ranging have emerged as the key technologies underpinning wireless localization in harsh environments. Fingerprinting primarily focuses on accurate estimation at the expense of exhaustive calibration. Ranging mainly pursues an easy-to-deploy solution at the expense of moderate performance. In this paper, we present a resilient framework for sustained localization based on accurate fingerprinting in critical areas and light ranging in noncritical spaces. Such framework is conceived from the Bayesian perspective that facilitates the specification of recursive algorithms for real-time operation. In comparison to conventional implementations, we assessed the proposed framework in an indoor scenario with measurements gathered by commercial devices. The presented techniques noticeably outperform current approaches, enabling a flexible adaptation to the fluctuating conditions of harsh environments.
URI : http://hdl.handle.net/10366/134273
ISSN : 1550-1329 (Print); 1550-1477 (Online)
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