Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43081
Title: Path loss factor estimation for RSS-based localization algorithms with wireless sensor networks
Authors: Hernández-Pérez, E. 
Navarro-Mesa, J. L. 
Martin-Gonzalez, S. 
Quintana-Morales, P. 
Ravelo-García, A. 
UNESCO Clasification: 3307 Tecnología electrónica
Issue Date: 2011
Journal: European Signal Processing Conference
Conference: 19th European Signal Processing Conference (EUSIPCO) 
19th European Signal Processing Conference, EUSIPCO 2011 
Abstract: We address the problem of estimating the path loss factor and its integration in RSS-based localization algorithms with wireless sensor networks. We propose an algorithm that relies on a stochastic characterization of the uncertainties in the propagation model. Due to that the path loss factor is unknown and the localization is only based on RSS measurements whose distances from the beacons to the target are also unknown. This is a problem for which we propose an iterative algorithm which estimates the factors, the locations and the distances. The algorithm is tested with three RSS-based localization algorithms: circular frilateration, weighted centroids and ratiomefric vector iteration. The results of our simulations show that the proposed algorithm gives good estimations of the path loss factors and gives improvements over the original localization algorithms.
URI: http://hdl.handle.net/10553/43081
ISSN: 2219-5491
DOI: WOS:000377963100404
Source: European Signal Processing Conference[ISSN 2219-5491], p. 1994-1998
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

3
checked on Feb 21, 2021

Page view(s)

15
checked on Feb 21, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.