Localization Algorithm with On-line Path Loss Estimation and Node Selection
Bel i Pereira, Albert (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
López Vicario, José (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Seco Granados, Gonzalo (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)

Fecha:	2011
Resumen:	RSS-based localization is considered a low-complexity algorithm with respect to other range techniques such as TOA or AOA. The accuracy of RSS methods depends on the suitability of the propagation models used for the actual propagation conditions. In indoor environments, in particular, it is very difficult to obtain a good propagation model. For that reason, we present a cooperative localization algorithm that dynamically estimates the path loss exponent by using RSS measurements. Since the energy consumption is a key point in sensor networks, we propose a node selection mechanism to limit the number of neighbours of a given node that are used for positioning purposes. Moreover, the selection mechanism is also useful to discard bad links that could negatively affect the performance accuracy. As a result, we derive a practical solution tailored to the strict requirements of sensor networks in terms of complexity, size and cost. We present results based on both computer simulations and real experiments with the Crossbow MICA2 motes showing that the proposed scheme offers a good trade-off in terms of position accuracy and energy efficiency.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Wireless sensor networks ; Localization ; Cooperative ; Distributed ; Received Signal Strength (RSS)
Publicado en:	Sensors (Basel, Switzerland), Vol. 11 (2011) , p. 6905-6925, ISSN 1424-8220

DOI: 10.3390/s110706905
PMID: 22163992

21 p, 2.1 MB

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