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Sensors 2016, 16(6), 802; doi:10.3390/s16060802

Reference Device-Assisted Adaptive Location Fingerprinting

School of Geography and Planning, Sun Yat-Sen University, 135 # Xingangxi Road, Guangzhou 510275, China
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 3 March 2016 / Revised: 11 May 2016 / Accepted: 16 May 2016 / Published: 1 June 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [2867 KB, uploaded 1 June 2016]   |  

Abstract

Location fingerprinting suffers in dynamic environments and needs recalibration from time to time to maintain system performance. This paper proposes an adaptive approach for location fingerprinting. Based on real-time received signal strength indicator (RSSI) samples measured by a group of reference devices, the approach applies a modified Universal Kriging (UK) interpolant to estimate adaptive temporal and environmental radio maps. The modified UK can take the spatial distribution characteristics of RSSI into account. In addition, the issue of device heterogeneity caused by multiple reference devices is further addressed. To compensate the measuring differences of heterogeneous reference devices, differential RSSI metric is employed. Extensive experiments were conducted in an indoor field and the results demonstrate that the proposed approach not only adapts to dynamic environments and the situation of changing APs’ positions, but it is also robust toward measuring differences of heterogeneous reference devices. View Full-Text
Keywords: adaptive location fingerprinting; interpolation; Universal Kriging; device heterogeneity; differential RSSI adaptive location fingerprinting; interpolation; Universal Kriging; device heterogeneity; differential RSSI
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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Wu, D.; Xia, L. Reference Device-Assisted Adaptive Location Fingerprinting. Sensors 2016, 16, 802.

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