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Flying sensor and edge network-based advanced air mobility systems: reliability analysis and applications for urban monitoring

Academic Article
Publication Date:
2023
abstract:
Typical structures of monitoring systems (MSs) that are used in urban complex objects (UCOs) (such as large industrial facilities, power facilities, and others) during the post-accident period are combined with the technologies of flying sensor networks (FSNets) and flying edge networks (FENets) (FSNets and FENets); cloud/fog computing and artificial intelligence are also developed. An FSNets and FENets-based MS, composed of one of the Advanced Air Mobility (AAM) systems classes, which comprise main and virtual crisis centers, fleets of flying sensors, edge nodes, and a ground control station, is presented and discussed. Reliability and survivability models of the MS for the UCOs, considering various operation conditions and options of redundancy, are developed and explored. A tool to support the research on MS reliability, survivability, and the choice of parameters is developed and described. Crucially, this paper enhances the technique for assessing systems using the multi-parametrical deterioration of characteristics as a class of multi-state systems. Problems that may arise when using FSNets/FENet-based AAM systems are discussed. The main research results comprise a structural basis, a set of models, and a tool for calculating the reliability and survivability of FSNets/FENet-based AAM systems, with various options for distributing the processing and control resources between components, their failure rates, and degradation scenarios.
Iris type:
01.01 Articolo in rivista
Keywords:
Flying sensor network; Flying edge network; Unmanned aerial vehicle; Monitoring system; Reliability; Survivability; Crisis centre; Multi-state system
List of contributors:
Illiashenko, Oleg
Handle:
https://iris.cnr.it/handle/20.500.14243/463464
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/463464/154816/prod_486054-doc_201564.pdf
Published in:
DRONES
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URL

https://www.mdpi.com/2504-446X/7/7/409
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