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Sensors 2015, 15(10), 27322-27340; doi:10.3390/s151027322

RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping

1
Departament d’Informàtica, Universitat de València, Avd. de la Universitat, Burjassot 46100, Spain
2
Department of Computer Science and Engineering, Universitat Jaume I, Campus Riu Sec, Castellón 12071, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 31 July 2015 / Revised: 14 October 2015 / Accepted: 19 October 2015 / Published: 27 October 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [908 KB, uploaded 27 October 2015]   |  

Abstract

Indoor RF-based localization using fingerprint mapping requires an initial training step, which represents a time consuming process. This location methodology needs a database conformed with RSSI (Radio Signal Strength Indicator) measures from the communication transceivers taken at specific locations within the localization area. But, the real world localization environment is dynamic and it is necessary to rebuild the fingerprint database when some environmental changes are made. This paper explores the use of different interpolation functions to complete the fingerprint mapping needed to achieve the sought accuracy, thereby reducing the effort in the training step. Also, different distributions of test maps and reference points have been evaluated, showing the validity of this proposal and necessary trade-offs. Results reported show that the same or similar localization accuracy can be achieved even when only 50% of the initial fingerprint reference points are taken. View Full-Text
Keywords: RF-Location; finger-printing; interpolation; 802.15.4 networks RF-Location; finger-printing; interpolation; 802.15.4 networks
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ezpeleta, S.; Claver, J.M.; Pérez-Solano, J.J.; Martí, J.V. RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping. Sensors 2015, 15, 27322-27340.

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