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Spatial computers for emergency support

Spatial computers for emergency support

Filippoupolitis, Avgoustinos, Gorbil, Gokce and Gelenbe, Erol (2012) Spatial computers for emergency support. The Computer Journal, 56 (12). pp. 1399-1416. ISSN 0010-4620 (Print), 1460-2067 (Online) (doi:https://doi.org/10.1093/comjnl/bxs063)

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Abstract

We present two spatially distributed computing systems that operate in a building and provide intelligent navigation services to people for evacuation purposes. These systems adapt to changing conditions by monitoring the building and using local communication and computation for determining the best evacuation paths. The first system, called distributed evacuation system (DES), comprises a network of decision nodes (DNs) positioned at specific locations inside the building. DNs provide people with directions regarding the best available exit. The second system, called opportunistic emergency support system (OESS), consists of mobile communication nodes (CNs) carried by people. CNs form an opportunistic network in order to exchange information regarding the hazard and to direct the evacuees towards the safest exit. BothDESandOESSemploy sensor nodes deployed at fixed locations for monitoring the hazard.We evaluate the spatial systems using simulation experiments with a purpose-built emergency simulator called DBES.We show how parameters such as the frequency of information exchange and communication range affect the system performance and evacuation outcome.

Item Type: Article
Additional Information: [1] First published online: 15 June 2012. [2] Published in print: December 2013. [3] The Computer Journal is published by Oxford University Press on behalf of BCS, The Chartered Institute for IT.
Uncontrolled Keywords: spatial computers, emergency navigation, building evacucuation, opportunistic communications, cyber-physical systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Smart Systems Technologies
Related URLs:
Last Modified: 14 Oct 2016 09:25
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/10317

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