Paper Info
Title
Empirical Analysis and Ranging Using Environment and Mobility Adaptive RSSI Filter for Patient Localization during Disaster Management
Abstract
During emergency response to mass casualty disasters, one of the main logistic impediments faced by the On-site Organization Chief is to track the patients at the disaster site. We had proposed 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 ranging algorithm called Ranging using Environment and Mobility Adaptive RSSI (REMA) Filter which will provide the distance estimates and yield the real time localization of patients at the disaster site. We have conducted Ranging experiments both in indoor and outdoor environments and have built an offline database which is given as input for the REMA filter simulation. The output of REMA filter is given as input to the new position estimation algorithm currently being developed by us and the position estimation error is calculated using simulation. The REMA filter simulation results show the suitability of the algorithm for ranging during tracking of patients at the disaster site.
Year
DOI
Venue
2009
10.1109/ICNS.2009.63
ICNS
Keywords
Field
DocType
mobility adaptive rssi filter,rema filter simulation,rema filter,new system,emergency response,empirical analysis,rema filter simulation result,mass casualty disaster,disaster site,new position estimation algorithm,disaster management,patient localization,position estimation error,efficient emergency response,impedance,wireless sensor network,adaptive filters,data mining,global positioning system,wireless sensor networks,disasters,logistics,estimation,real time,patient monitoring,radar tracking
Radar tracker,Remote patient monitoring,Computer science,Emergency management,Computer network,Ranging,Global Positioning System,Adaptive filter,Mass Casualty,Wireless sensor network
Conference
Citations 
PageRank 
References 
5
0.67
5
Authors
5
Name
Order
Citations
PageRank
Ashok-Kumar Chandra-Sekaran1121.91
Prabu Dheenathayalan252.02
Pascal Weisser351.00
Christophe Kunze4207.42
Wilhelm Stork56823.29