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Sensors 2011, 11(7), 6905-6925; doi:10.3390/s110706905

Localization Algorithm with On-line Path Loss Estimation and Node Selection

Signal Processing for Communications and Navigation Group, Telecommunications and Systems Engineering Department, Universitat Autònoma de Barcelona, Edifici Q Campus de la UAB, Bellaterra (Cerdanyola del Vallès), Barcelona 08193, Spain
Author to whom correspondence should be addressed.
Received: 6 May 2011 / Revised: 17 June 2011 / Accepted: 21 June 2011 / Published: 1 July 2011
(This article belongs to the Section Physical Sensors)
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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 interms 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. View Full-Text
Keywords: wireless sensor networks; localization; cooperative; distributed; Received Signal Strength (RSS) wireless sensor networks; localization; cooperative; distributed; Received Signal Strength (RSS)

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Bel, A.; Vicario, J.L.; Seco-Granados, G. Localization Algorithm with On-line Path Loss Estimation and Node Selection. Sensors 2011, 11, 6905-6925.

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