@INPROCEEDINGS{18.eusipco.loc,
   author =  "Daniel AlShamaa and Farah Chehade and Paul Honeine",
   title =  "Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments",
   booktitle =  "Proc. 25rd European Conference on Signal Processing (EUSIPCO)",
   address =  "Rome, Italy",
   year  =  "2018",
   month =  "3 - 7~" # sep,
   pages    =  "2300-2304",
   keywords =  "machine learning, wireless sensor networks",
   acronym =  "EUSIPCO",
   url_link= "https://ieeexplore.ieee.org/document/8553020",
   url_paper  =  "http://honeine.fr/paul/publi/18.eusipco.loc.pdf",
   abstract={Localization of sensors has become an essential issue in wireless networks. This paper presents a decentralized approach to localize sensors in indoor environments. The targeted area is partitioned into several sectors, each of which having a local calculator capable of emitting, receiving, and processing data. Each calculator runs a local localization algorithm, by investigating the belief functions theory for decision fusion of radio fingerprints, to estimate the sensors zones. The fusion of all calculators estimates, is combined with a mobility model to yield a final zone decision. The decentralized algorithm is described and evaluated against the state-of-the-art. Experimental results show the effectiveness of the proposed method in terms of localization accuracy, processing time, and robustness.}, 
   keywords={Calculators, Topology, Network topology, Signal processing algorithms, Wireless sensor networks, Wireless fidelity, Signal processing, Decentralized architecture, decision fusion, localization, mobility, RSSI fingerprints}, 
   doi={10.23919/EUSIPCO.2018.8553020}, 
   ISSN={2076-1465}, 
}

{"_id":"e4wG3ScDtMfBXXbKo","bibbaseid":"alshamaa-chehade-honeine-decentralizedsensorlocalizationbydecisionfusionofrssiandmobilityinindoorenvironments-2018","author_short":["AlShamaa, D.","Chehade, F.","Honeine, P."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Daniel"],"propositions":[],"lastnames":["AlShamaa"],"suffixes":[]},{"firstnames":["Farah"],"propositions":[],"lastnames":["Chehade"],"suffixes":[]},{"firstnames":["Paul"],"propositions":[],"lastnames":["Honeine"],"suffixes":[]}],"title":"Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments","booktitle":"Proc. 25rd European Conference on Signal Processing (EUSIPCO)","address":"Rome, Italy","year":"2018","month":"3 - 7 September","pages":"2300-2304","keywords":"Calculators, Topology, Network topology, Signal processing algorithms, Wireless sensor networks, Wireless fidelity, Signal processing, Decentralized architecture, decision fusion, localization, mobility, RSSI fingerprints","acronym":"EUSIPCO","url_link":"https://ieeexplore.ieee.org/document/8553020","url_paper":"http://honeine.fr/paul/publi/18.eusipco.loc.pdf","abstract":"Localization of sensors has become an essential issue in wireless networks. This paper presents a decentralized approach to localize sensors in indoor environments. The targeted area is partitioned into several sectors, each of which having a local calculator capable of emitting, receiving, and processing data. Each calculator runs a local localization algorithm, by investigating the belief functions theory for decision fusion of radio fingerprints, to estimate the sensors zones. The fusion of all calculators estimates, is combined with a mobility model to yield a final zone decision. The decentralized algorithm is described and evaluated against the state-of-the-art. Experimental results show the effectiveness of the proposed method in terms of localization accuracy, processing time, and robustness.","doi":"10.23919/EUSIPCO.2018.8553020","issn":"2076-1465","bibtex":"@INPROCEEDINGS{18.eusipco.loc,\n author = \"Daniel AlShamaa and Farah Chehade and Paul Honeine\",\n title = \"Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments\",\n booktitle = \"Proc. 25rd European Conference on Signal Processing (EUSIPCO)\",\n address = \"Rome, Italy\",\n year = \"2018\",\n month = \"3 - 7~\" # sep,\n pages = \"2300-2304\",\n keywords = \"machine learning, wireless sensor networks\",\n acronym = \"EUSIPCO\",\n url_link= \"https://ieeexplore.ieee.org/document/8553020\",\n url_paper = \"http://honeine.fr/paul/publi/18.eusipco.loc.pdf\",\n abstract={Localization of sensors has become an essential issue in wireless networks. This paper presents a decentralized approach to localize sensors in indoor environments. The targeted area is partitioned into several sectors, each of which having a local calculator capable of emitting, receiving, and processing data. Each calculator runs a local localization algorithm, by investigating the belief functions theory for decision fusion of radio fingerprints, to estimate the sensors zones. The fusion of all calculators estimates, is combined with a mobility model to yield a final zone decision. The decentralized algorithm is described and evaluated against the state-of-the-art. Experimental results show the effectiveness of the proposed method in terms of localization accuracy, processing time, and robustness.}, \n keywords={Calculators, Topology, Network topology, Signal processing algorithms, Wireless sensor networks, Wireless fidelity, Signal processing, Decentralized architecture, decision fusion, localization, mobility, RSSI fingerprints}, \n doi={10.23919/EUSIPCO.2018.8553020}, \n ISSN={2076-1465}, \n}\n","author_short":["AlShamaa, D.","Chehade, F.","Honeine, P."],"key":"18.eusipco.loc","id":"18.eusipco.loc","bibbaseid":"alshamaa-chehade-honeine-decentralizedsensorlocalizationbydecisionfusionofrssiandmobilityinindoorenvironments-2018","role":"author","urls":{" link":"https://ieeexplore.ieee.org/document/8553020"," paper":"http://honeine.fr/paul/publi/18.eusipco.loc.pdf"},"keyword":["Calculators","Topology","Network topology","Signal processing algorithms","Wireless sensor networks","Wireless fidelity","Signal processing","Decentralized architecture","decision fusion","localization","mobility","RSSI fingerprints"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"inproceedings","biburl":"http://honeine.fr/paul/biblio_ph.bib","dataSources":["DsERGQxgYm5hGq3CY"],"keywords":["calculators","topology","network topology","signal processing algorithms","wireless sensor networks","wireless fidelity","signal processing","decentralized architecture","decision fusion","localization","mobility","rssi fingerprints"],"search_terms":["decentralized","sensor","localization","decision","fusion","rssi","mobility","indoor","environments","alshamaa","chehade","honeine"],"title":"Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments","year":2018}