Name
Title | ||
|---|---|---|
Efficient resource estimation during mass casualty emergency response based on a location aware disaster aid network |
Abstract | ||
|---|---|---|
The mass casualty emergency response involves logistic impediments like overflowing victims, paper triaging, extended victim wait time and transport. We propose a new system based on a location aware wireless sensor network (WSN) to overcome these impediments and assists the emergency responders (ER) in providing efficient emergency response. We have developed a ZigBeeready acceleration sensor node hardware which is energy efficient as shown by its current consumption results. ZigBee mesh network is setup and a RSSI-based localization solution is analyzed. The main functionality of this WSN is to collect real time data - patient/emergency doctor tracking, triage information, patient vital signs/activity and communicate it to the ER's Monitor Station device that runs the visualization software. We have implemented this software using the new 'Care Zone Count Algorithm' a dynamic mechanism based on localized events and data acquired from the WSN. This algorithm calculates and displays the patient count in each care zone, victim flow rate, transport capacity, thereby enabling the ER to efficiently estimate the resources required. The analysis of this algorithm verifies that the proposed system creates situation awareness to the ER. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-77690-1_13 | EWSN |
Keywords | Field | DocType |
zigbeeready acceleration sensor node,efficient resource estimation,emergency doctor tracking,patient vital sign,location aware disaster aid,zigbee mesh network,emergency responder,patient count,extended victim wait time,efficient emergency response,mass casualty emergency response,algorithm verifies,wireless sensor network,real time data,energy efficient,situation awareness,mesh network,flow rate | Sensor node,Mesh networking,Real-time data,Situation awareness,Computer science,Efficient energy use,Computer network,Real-time computing,Triage,Software visualization,Wireless sensor network | Conference |
Volume | ISSN | ISBN |
4913 | 0302-9743 | 3-540-77689-3 |
Citations | PageRank | References |
3 | 0.45 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashok-Kumar Chandra-Sekaran | 1 | 12 | 1.91 |
| Gerd Flaig | 2 | 3 | 0.45 |
| Christophe Kunze | 3 | 20 | 7.42 |
| Wilhelm Stork | 4 | 68 | 23.29 |
| Klaus D. Mueller-Glaser | 5 | 11 | 1.89 |