RSSI distance estimation based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "David Gualda and Jesus Urena and Juan C. Garcia and 
                 Enrique Garcia and Daniel Ruiz",
  booktitle =    "International Conference on Indoor Positioning and
                 Indoor Navigation (IPIN 2013)",
  title =        "RSSI distance estimation based on Genetic
  year =         "2013",
  month =        oct,
  abstract =     "The obtention of distances to different Access Points
                 from RSSI readings in indoor environments is a
                 difficult task due to intrinsic RF propagation effects
                 like refraction, diffraction, reflection or absorption.
                 This paper proposes a new model of distances estimation
                 from RSSI data based on Genetic Programming; this new
                 model estimates the distances from the receiver
                 position to each WiFi AP depending on all RSSI WiFi
                 measurements available in this point. Other methods, as
                 fingerprinting, use the RSSI WiFi measures to determine
                 directly the position but they need a careful choice of
                 the set of calibration points. In our method, we obtain
                 specific expressions that obtain distances to each AP
                 taking into account the RSSI received from all the APs
                 available in the coverage area with few restrictions
                 about the location of such calibration points. Our
                 model is compared with two classical propagation models
                 (Hata-Okumura and COST 231 multi-wall) in a real
                 scenario obtaining better results. The distances to the
                 APs obtained can be used by any positioning algorithm
                 (as Gauss-Newton one) to obtain the position of the
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/IPIN.2013.6817881",
  notes =        "GPLAB

                 Dept. of Electron., Univ. of Alcala, Alcala de Henares,

                 Also known as \cite{6817881}",

Genetic Programming entries for David Gualda Gomez Jesus Urena Urena Juan Carlos Garcia Garcia Enrique Garcia Francisco Daniel Ruiz Pereda