A cooperative emergency navigation framework using mobile cloud computing
File(s)1406.0775v1.pdf (100.78 KB)
Accepted version
Author(s)
Bi, Huibo
Gelenbe, Erol
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.
Editor(s)
Czachorski, T
Gelenbe, E
Lent, R
Date Issued
2014-09-01
Date Acceptance
2014-09-01
Citation
INFORMATION SCIENCES AND SYSTEMS 2014, 2014, pp.41-48
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
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000354610600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
29th Annual Symposium on Computer and Information Sciences
Subjects
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
Publication Status
Published
Start Date
2014-10-27
Finish Date
2014-10-28
Coverage Spatial
Krakow, POLAND
Date Publish Online
2014-09-25