Abstract | ||
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During emergency response to mass casualty disasters, one of the main logistic impediments faced by the On-site Organizational Chief (OOC) is to track the patients at the disaster site. We had proposed our previous work a new system based on a location aware wireless sensor network (WSN) to overcome these impediments and assist the responders in providing efficient emergency response. In this paper we have implemented a new algorithm called Range-Based Monte Carlo Patient Localization (MPL) for real time localization of large number of patients at the disaster site. The simulation of the algorithm is done in a general scenario and its performance is evaluated by comparing it with state of the art algorithms. The simulation of MPL in a simplified disaster management mobility model verifies that it is suitable for tracking patients at the disaster site. |
Year | DOI | Venue |
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2009 | 10.1109/AICT.2009.10 | AICT |
Keywords | Field | DocType |
mass casualty disaster,disaster site,range-based monte carlo patient,monte carlo patient localization,art algorithm,on-site organizational chief,emergency response,new algorithm,new system,efficient emergency response,disaster management mobility model,impedance,wireless sensor network,real time,accuracy,data mining,patient monitoring,radar tracking,mobile communication,wireless sensor networks,information processing,monte carlo methods,particle filters,monte carlo,face,information technology,logistics,mobility model,disaster management | Monte Carlo method,Radar tracker,Computer science,Remote patient monitoring,Emergency management,Particle filter,Operations research,Mobility model,Real-time computing,Wireless sensor network,Patient Tracking | Conference |
ISBN | Citations | PageRank |
978-0-7695-3611-8 | 0 | 0.34 |
References | Authors | |
7 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ashok-Kumar Chandra-Sekaran | 1 | 12 | 1.91 |
Gunnar Stefansson | 2 | 31 | 5.13 |
Christophe Kunze | 3 | 20 | 7.42 |
Klaus D. Müller | 4 | 40 | 6.11 |
Pascal Weisser | 5 | 5 | 1.00 |
Chandra-Sekaran, A.-K. | 6 | 0 | 0.34 |
Muller-Glaser, K.D. | 7 | 39 | 15.07 |