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A cooperative emergency navigation framework using mobile cloud computing

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Title: A cooperative emergency navigation framework using mobile cloud computing
Authors: Bi, H
Gelenbe, E
Item Type: Conference Paper
Abstract: The use of wireless sensor networks (WSNs) for emergency navigation systems suffer disadvantages such as limited computing capacity, restricted battery power and high likelihood of malfunction due to the harsh physical environment. By making use of the powerful sensing ability of smart phones, this paper presents a cloud-enabled emergency navigation framework to guide evacuees in a coordinated manner and improve the reliability and resilience in both communication and localization. By using social potential fields (SPF), evacuees form clusters during an evacuation process and are directed to egresses with the aid of a Cognitive Packet Networks (CPN)-based algorithm. Rather than just rely on the conventional telecommunications infrastructures, we suggest an Ad hoc Cognitive Packet Network (AHCPN)-based protocol to prolong the life time of smart phones, that adaptively searches optimal communication routes between portable devices and the egress node that provides access to a cloud server with respect to the remaining battery power of smart phones and the time latency.
Editors: Czachorski, T
Gelenbe, E
Lent, R
Issue Date: 1-Sep-2014
Date of Acceptance: 1-Sep-2014
URI: http://hdl.handle.net/10044/1/77705
DOI: 10.1007/978-3-319-09465-6_5
Publisher: SPRINGER-VERLAG BERLIN
Start Page: 41
End Page: 48
Journal / Book Title: INFORMATION SCIENCES AND SYSTEMS 2014
Copyright Statement: © Springer International Publishing Switzerland 2014. The final publication is available at Springer via https://doi.org/10.1007/978-3-319-09465-6_5
Conference Name: 29th Annual Symposium on Computer and Information Sciences
Keywords: Science & Technology
Technology
Computer Science, Hardware & Architecture
Telecommunications
Computer Science
Coordinated emergency navigation
Infrastructure-less
Cloud computing
Ad hoc Cognitive Packet Networks
RANDOM NEURAL-NETWORKS
EVACUATION
SIMULATION
Science & Technology
Technology
Computer Science, Hardware & Architecture
Telecommunications
Computer Science
Coordinated emergency navigation
Infrastructure-less
Cloud computing
Ad hoc Cognitive Packet Networks
RANDOM NEURAL-NETWORKS
EVACUATION
SIMULATION
cs.NI
cs.NI
Publication Status: Published
Start Date: 2014-10-27
Finish Date: 2014-10-28
Conference Place: Krakow, POLAND
Online Publication Date: 2014-09-25
Appears in Collections:Electrical and Electronic Engineering
Grantham Institute for Climate Change