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

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5 Author(s)
Chandra-Sekaran, A.-K. ; Inst. for Inf. Process. Technol. (ITIV), Univ. of Karlsruhe (TH), Karlsruhe ; Stefansson, G. ; Kunze, C. ; Muller-Glaser, K.D.
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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.

Published in:

Telecommunications, 2009. AICT '09. Fifth Advanced International Conference on

Date of Conference:

24-28 May 2009

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