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Author (up) Claudio Arbib; Davide Arcelli; Julie Dugdale; Mahyar Tourchi Moghaddam, H.M. pdf 
  Title Real-time Emergency Response through Performant IoT Architectures Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages 388-401  
  Keywords Emergency Evacuation; IoT; Software Architecture; Network Optimization; Queuing Network.  
  Abstract This paper describes the design of an IoT system for building evacuation. There are two main design decisions for such systems: i) specifying the platform on which the IoT intelligent components should be located; and ii) establishing the level of collaboration among the components. For safety-critical systems, such as evacuation, real-time performance and evacuation time are critical. The approach aims to minimize computational and evacuation delays and uses Queuing Network (QN) models. The approach was tested, by computer simulation, on a real exhibition venue in anonymous that has 34 sets of IoT sensors and actuators. Experiments were performed that tested the effect of segmenting the physical space into different sized virtual cubes. Experiments were also conducted concerning the distribution of the software architecture. The results show that using centralized architectural pattern with a segmentation of the space into large cubes is the only feasible solution.  
  Address (1) University of L'Aquila, Italy; (2) University of Grenoble  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T5- Intelligent and Semantic Web Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes claudio.arbib@univaq.it; davide.arcelli@univaq.it; julie.dugdale@imag.fr; mahtou@univaq.it; henry.muccini@univaq.it Approved no  
  Call Number Serial 1729  
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