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.
|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|
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