Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/45F15E3A-2A5F-409F-B894-85DC0FA229A0 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.95446 | - |
| Language | en | - |
| Extent | 2.5 megabytes | en |
| Extent | 55 pages | en |
| Title | Inference techniques in low-cost sensor networks | en |
| Title | Τεχνικές συμπερασμού σε δίκτυα αισθητήρων χαμηλού κόστους | el |
| Creator | Apostolakis Georgios | en |
| Creator | Αποστολακης Γεωργιος | el |
| Contributor [Thesis Supervisor] | Bletsas Aggelos | en |
| Contributor [Thesis Supervisor] | Μπλετσας Αγγελος | el |
| Contributor [Committee Member] | Lagoudakis Michail | en |
| Contributor [Committee Member] | Λαγουδακης Μιχαηλ | el |
| Contributor [Committee Member] | Deligiannakis Antonios | en |
| Contributor [Committee Member] | Δεληγιαννακης Αντωνιος | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών | el |
| Content Summary | Distributed execution of algorithms across resource-constrained terminals has become increasingly popular, especially when fault tolerance is required. Asynchronous operation is brought to light in such scenarios, and in particular, probabilistic asynchronous operation, which models the failure probability of each terminal. The focus of this work is on the affine update model, which is applicable to a wide range of distributed inference algorithms. Applications include estimation of the average, solving linear systems, linear minimum mean square error estimation and spectral clustering, presented in detail in this thesis. Multimodal inference is also investigated, where two or more alternate sources of data are exploited for increased prediction accuracy. In that context, two variations of linear regression are presented, with uniform or Gaussian prior, which are equivalent to iterative affine updates. Furthermore, this work offers an asymptotic analysis for the arithmetic mean of the state vector, across a finite number of experiments, for the discovery of fixed points. It is shown that there are cases where the arithmetic mean behaves differently than the expected mean, and a sufficient condition is provided for convergence of the arithmetic mean to a fixed point. The lack of necessity for this condition is explained and subcases where the arithmetic mean converges, diverges, or has unpredictable behaviour are highlighted. Additionally, cases where the individual iterations never converge but their arithmetic mean does and offers fixed point are offered. Simulations corroborate the theoretical findings for various affine model setups. Finally, implementation details of a distributed low-cost sensor network are presented; the low-cost sensor network estimates the arithmetic mean of temperature across the network, by executing average consensus. The implementation is divided into hardware, network and software layers, and each layer is presented separately. | en |
| Type of Item | Μεταπτυχιακή Διατριβή | el |
| Type of Item | Master Thesis | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2023-04-05 | - |
| Date of Publication | 2023 | - |
| Subject | Συμπερασμός | el |
| Subject | Inference | en |
| Subject | Δίκτυα αισθητήρων | el |
| Subject | Sensor networks | en |
| Subject | Αφινικό μοντέλο | el |
| Subject | Affine model | en |
| Subject | Asynchrony | en |
| Subject | Convergence region | en |
| Subject | Asymptotic properties | en |
| Subject | Arithmetic mean | en |
| Subject | Distributed implementation | en |
| Subject | περιοχή σύγκλισης | el |
| Subject | αριθμητικός μέσος όρος | el |
| Subject | κατανεμημένη υλοποίηση | el |
| Bibliographic Citation | Georgios Apostolakis, "Inference techniques in low-cost sensor networks", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2023 | en |
| Bibliographic Citation | Γεώργιος Αποστολάκης, "Τεχνικές συμπερασμού σε δίκτυα αισθητήρων χαμηλού κόστους", Μεταπτυχιακή Διατριβή, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2023 | el |
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