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Localization in environmental scatter radio networks

Vestakis Marios

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URIhttp://purl.tuc.gr/dl/dias/B50685A8-0CF8-4906-87B6-EDC090616E65-
Identifierhttps://doi.org/10.26233/heallink.tuc.68545-
Languageen-
Extent65,2 megabytesen
TitleLocalization in environmental scatter radio networksen
TitleΠροσδιορισμός θέσης σε περιβαλλοντικά δίκτυα οπισθοσκέδασηςel
CreatorVestakis Mariosen
CreatorΒεστακης Μαριοςel
Contributor [Thesis Supervisor]Bletsas Aggelosen
Contributor [Thesis Supervisor]Μπλετσας Αγγελοςel
Contributor [Committee Member]Karystinos Georgiosen
Contributor [Committee Member]Καρυστινος Γεωργιοςel
Contributor [Committee Member]Deligiannakis Antoniosen
Contributor [Committee Member]Δεληγιαννακης Αντωνιοςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electrical and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστώνel
DescriptionΔιπλωματική εργασία που υποβλήθηκε στην σχολή ΗΜΜΥ για την λήψη του προπτυχιακού Διπλώματος.el
Content SummaryScatter radio networks have been recently proposed for environmental sens- ing applications, e.g., water savings in agriculture. Additionally, they are central in inventory management with radio frequency identification (RFID) tags, as well as other Internet of Things (IoT) applications. Recent signal processing developments in bistatic scatter radio networks have dramatically extended their coverage; thus, knowing the location of each tag becomes valuable information. Each scatter radio tag reflects the illuminating signal, transmitted from multiple low-cost emitters. The received signal strength (RSS) measurements at a single low-cost reader are usedas input in cus- tom particle filtering (PF) algorithms, in order to localize each scatter radio tag. Free-space, two-ray and an empirical wireless propagation large-scale path loss models are considered, alongside a small-scale fading model and different particle resampling techniques. Extensive simulations for a 100m x 100m grid offered root mean squared error (RMSE) as low as 1.6m. Outdoor experimental results in a 27m x 32m grid offered 0.9m RMSE.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2017-07-06-
Date of Publication2017-
SubjectTelecommunicationsen
SubjectParticle filteringen
SubjectRSS modelsen
SubjectLocalizationen
SubjectScatter radio networksen
Bibliographic CitationMarios Vestakis, "Localization in environmental scatter radio networks", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2017en
Bibliographic CitationΜάριος Βεστάκης, "Προσδιορισμός θέσης σε περιβαλλοντικά δίκτυα οπισθοσκέδασης", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2017el

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