Title
A Range-Based Monte Carlo Patient Localization during Emergency Response to Crisis
Abstract
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
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