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Applications of distributed inference in ambiently powered wireless sensor networks

Perakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/386A6D97-8E7E-4D99-82CB-069BCCD0CC1A-
Identifierhttps://doi.org/10.26233/heallink.tuc.95165-
Languageen-
Extent43 megabytesen
Extent53 pagesen
TitleApplications of distributed inference in ambiently powered wireless sensor networksen
TitleΕφαρμογές κατανεμημένου συμπερασμού σε σσύρματα δίκτυα αισθητήρων τροφοδοτούμενα με ισχύ από το περιβάλλονel
CreatorPerakis Georgiosen
CreatorΠερακης Γεωργιοςel
Contributor [Thesis Supervisor]Bletsas Aggelosen
Contributor [Thesis Supervisor]Μπλετσας Αγγελοςel
Contributor [Committee Member]Mania Aikaterinien
Contributor [Committee Member]Μανια Αικατερινηel
Contributor [Committee Member]Spyropoulos Thrasyvoulosen
Contributor [Committee Member]Σπυροπουλος Θρασυβουλοςel
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
Content SummaryThis thesis contains applications utilizing wireless sensor networks powered solely by the environment, using small, credit card-sized solar panels. The network contains a number of inexpensive terminals with transmission power of 10.4 dBm and token-ring medium access, capable of distributed in-network inference. An outdoor demonstration using loopy belief propagation and two indoor demonstrations using average consensus were developed and deployed, with this wireless network. The indoor demonstration includes two different versions; a centralised version focusing on robustness and a distributed counterpart focusing on available range. The indoor demonstrations calculate the average temperature in a closed space and the outdoor demonstration measures and estimates the soil moisture on an agricultural field; specific provisions are given so that soil moisture is estimated in locations where the sensors are broken or simply not reporting due to power outage. Distributed measurements and estimation for the outdoor demo required approximately 6 minutes of message passing between ambiently powered nodes; for the indoor demo, that time was approximately 3 minutes. It was found that distributed in-network inference with resource constrained, ambiently-powered wireless terminals is possible, at the ex- pense of increased overall delay. In addition, it was found that distributed operation demands robust time synchronization among the terminals. Fu- ture work will focus on distributed time synchronization and other medium access control schemes for resource-constrained WSNs.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by-nc/4.0/en
Date of Item2023-03-02-
Date of Publication2023-
SubjectΔιπλωματική Εργασίαel
SubjectDiploma Worken
Bibliographic CitationGeorgios Perakis, "Applications of distributed inference in ambiently powered wireless sensor networks", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023en
Bibliographic CitationΓεώργιος Περάκης, "Εφαρμογές κατανεμημένου συμπερασμού σε σσύρματα δίκτυα αισθητήρων τροφοδοτούμενα με ισχύ από το περιβάλλον", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2023el

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