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Directional Navigation Improves Opportunistic Communication for Emergencies

We present a novel direction based shortest path search algorithm to guide evacuees during an emergency. It uses opportunistic communications (oppcomms) with low-cost wearable mobile nodes that can exchange packets at close range of a few to some tens of meters without help of an infrastructure. The...

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Detalles Bibliográficos
Autores principales: Kokuti, Andras., Gelenbe, Erol.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179006/
https://www.ncbi.nlm.nih.gov/pubmed/25140633
http://dx.doi.org/10.3390/s140815387
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author Kokuti, Andras.
Gelenbe, Erol.
author_facet Kokuti, Andras.
Gelenbe, Erol.
author_sort Kokuti, Andras.
collection PubMed
description We present a novel direction based shortest path search algorithm to guide evacuees during an emergency. It uses opportunistic communications (oppcomms) with low-cost wearable mobile nodes that can exchange packets at close range of a few to some tens of meters without help of an infrastructure. The algorithm seeks the shortest path to exits which are safest with regard to a hazard, and is integrated into an autonomous Emergency Support System (ESS) to guide evacuees in a built environment. The algorithm proposed that ESSs are evaluated with the DBES (Distributed Building Evacuation Simulator) by simulating a shopping centre where fire is spreading. The results show that the directional path finding algorithm can offer significant improvements for the evacuees.
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spelling pubmed-41790062014-10-02 Directional Navigation Improves Opportunistic Communication for Emergencies Kokuti, Andras. Gelenbe, Erol. Sensors (Basel) Article We present a novel direction based shortest path search algorithm to guide evacuees during an emergency. It uses opportunistic communications (oppcomms) with low-cost wearable mobile nodes that can exchange packets at close range of a few to some tens of meters without help of an infrastructure. The algorithm seeks the shortest path to exits which are safest with regard to a hazard, and is integrated into an autonomous Emergency Support System (ESS) to guide evacuees in a built environment. The algorithm proposed that ESSs are evaluated with the DBES (Distributed Building Evacuation Simulator) by simulating a shopping centre where fire is spreading. The results show that the directional path finding algorithm can offer significant improvements for the evacuees. MDPI 2014-08-20 /pmc/articles/PMC4179006/ /pubmed/25140633 http://dx.doi.org/10.3390/s140815387 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Kokuti, Andras.
Gelenbe, Erol.
Directional Navigation Improves Opportunistic Communication for Emergencies
title Directional Navigation Improves Opportunistic Communication for Emergencies
title_full Directional Navigation Improves Opportunistic Communication for Emergencies
title_fullStr Directional Navigation Improves Opportunistic Communication for Emergencies
title_full_unstemmed Directional Navigation Improves Opportunistic Communication for Emergencies
title_short Directional Navigation Improves Opportunistic Communication for Emergencies
title_sort directional navigation improves opportunistic communication for emergencies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179006/
https://www.ncbi.nlm.nih.gov/pubmed/25140633
http://dx.doi.org/10.3390/s140815387
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