Centralized Bayesian reliability modelling with sensor networks

0392551 - ÚTIA 2014 RIV US eng J - Journal Article
Dedecius, Kamil - Sečkárová, Vladimíra
Centralized Bayesian reliability modelling with sensor networks.
Mathematical and Computer Modelling of Dynamical Systems. Roč. 19, č. 5 (2013), s. 471-482. ISSN 1387-3954. E-ISSN 1744-5051
R&D Projects: GA MŠMT 7D12004
Grant - others:GA MŠk(CZ) SVV-265315
Keywords : Bayesian modelling * Sensor network * Reliability
Subject RIV: BD - Theory of Information
Impact factor: 0.984, year: 2013
http://library.utia.cas.cz/separaty/2013/AS/dedecius-0392551.pdf

The article concerns reliability estimation in modern dynamic systems. It introduces a novel approach, exploiting a network of several independent spatially distributed sensors, actively probing the monitored system. A dedicated network element - the fusion centre - is then responsible for processing the information provided by sensors and evaluation of final reliability estimate. On the base of computational abilities of sensors, we propose two conceptually different reliability estimation scenarios: (1) the computationally cheaper dummy sensors scenario, in which the sensors send raw data to the fusion centre; and (2) the smart sensors scenario, when the data are processed locally by sensors, and the fusion centre subsequently merges their resulting information. Bayesian paradigm was adopted for consistent information representation, its adaptive dynamic processing and fusion.
Permanent Link: http://hdl.handle.net/11104/0221520