@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.",
}

{"_id":"dzvuz9D3D5FbH4Crg","bibbaseid":"mahfouz-mouradchehade-honeine-farah-snoussi-modlesemiparamtriquerssidistancepourlesuividunecibledanslesrseauxdecapteurssansfil-2015","author_short":["Mahfouz, S.","Mourad-Chehade, F.","Honeine, P.","Farah, J.","Snoussi, H."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Sandy"],"propositions":[],"lastnames":["Mahfouz"],"suffixes":[]},{"firstnames":["Farah"],"propositions":[],"lastnames":["Mourad-Chehade"],"suffixes":[]},{"firstnames":["Paul"],"propositions":[],"lastnames":["Honeine"],"suffixes":[]},{"firstnames":["Joumana"],"propositions":[],"lastnames":["Farah"],"suffixes":[]},{"firstnames":["Hichem"],"propositions":[],"lastnames":["Snoussi"],"suffixes":[]}],"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":"September","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.","bibtex":"@INPROCEEDINGS{15.gretsi.wsn,\n author = \"Sandy Mahfouz and Farah Mourad-Chehade and Paul Honeine and Joumana Farah and Hichem Snoussi\",\n title = \"Modèle semi-paramétrique RSSI/distance pour le suivi d'une cible dans les réseaux de capteurs sans fil\",\n booktitle = \"Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images\",\n address = \"Lyon, France\",\n year = \"2015\",\n month = sep,\n keywords = \"machine learning, wireless sensor networks\",\n acronym = \"GRETSI'15\",\n url_paper = \"http://honeine.fr/paul/publi/15.gretsi.wsn.pdf\",\n 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.\",\n}\n\n","author_short":["Mahfouz, S.","Mourad-Chehade, F.","Honeine, P.","Farah, J.","Snoussi, H."],"key":"15.gretsi.wsn","id":"15.gretsi.wsn","bibbaseid":"mahfouz-mouradchehade-honeine-farah-snoussi-modlesemiparamtriquerssidistancepourlesuividunecibledanslesrseauxdecapteurssansfil-2015","role":"author","urls":{" paper":"http://honeine.fr/paul/publi/15.gretsi.wsn.pdf"},"keyword":["machine learning","wireless sensor networks"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"inproceedings","biburl":"http://honeine.fr/paul/biblio_ph.bib","dataSources":["DsERGQxgYm5hGq3CY"],"keywords":["machine learning","wireless sensor networks"],"search_terms":["mod","semi","param","trique","rssi","distance","pour","suivi","une","cible","dans","les","seaux","capteurs","sans","fil","mahfouz","mourad-chehade","honeine","farah","snoussi"],"title":"Modèle semi-paramétrique RSSI/distance pour le suivi d'une cible dans les réseaux de capteurs sans fil","year":2015}