@INPROCEEDINGS{15.gretsi.wsn, author = "Sandy Mahfouz and Farah Mourad-Chehade and Paul Honeine and Joumana Farah and Hichem Snoussi", title = "Modèle semi-paramétrique RSSI/distance pour le suivi d'une cible dans les réseaux de capteurs sans fil", booktitle = "Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images", address = "Lyon, France", year = "2015", month = sep, keywords = "machine learning, wireless sensor networks", acronym = "GRETSI'15", url_paper = "http://honeine.fr/paul/publi/15.gretsi.wsn.pdf", abstract = "– This paper introduces two main contributions to the wireless sensor network domain. The first one consists of determining, using a semi-parametric model, the relationship between the distances separating sensors and the received signal strength indicators (RSSIs) of the signals exchanged by these sensors in a network. As for the second contribution, it consists in tracking a moving target in the network using the estimated RSSI/distance model. The target's position is estimated by combining acceleration information and the estimated distances separating the target from sensors having known positions, using either a Kalman or a particle filter.", }