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July, 6, 2004 QoS and Dynamic Systems W orkshop, ICPADS 2004 1 S. Olariu1, K. Maly2, E. C. Foudriat3 and S. M. Yamany4 {1,2,3}Department of Computer Science, Old Dominion University Norfolk, Virginia 23529, USA {4}Systems and Biomedical Engineering Department, Cairo University, Cairo, Egypt Wireless support for telemedicine in disaster management

July, 6, 2004 QoS and Dynamic Systems Workshop, ICPADS 20041 S. Olariu1, K. Maly2, E. C. Foudriat3 and S. M. Yamany4 {1,2,3}Department of Computer Science,

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Page 1: July, 6, 2004 QoS and Dynamic Systems Workshop, ICPADS 20041 S. Olariu1, K. Maly2, E. C. Foudriat3 and S. M. Yamany4 {1,2,3}Department of Computer Science,

July, 6, 2004 QoS and Dynamic Systems Workshop, ICPADS 2004

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S. Olariu1, K. Maly2, E. C. Foudriat3 and S. M. Yamany4{1,2,3}Department of Computer Science, Old Dominion

UniversityNorfolk, Virginia 23529, USA

{4}Systems and Biomedical Engineering Department, Cairo University, Cairo, Egypt

Wireless support for telemedicine in disaster management

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Outline

Telemedicine WIRM Architecture H3M H3M in disaster relief Conclusions

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WIRM system architecture A novel 3D compression paradigm

to transfer of 3D data over the bandwidth-constrained links telemedicine support for the victims of disasters and

emergency situations over wireless networks technologically feasible and

economically viable An Interactive Remote Visualization tool (IRI, for short)

developed and tested at Old Dominion University A robust broadband wireless architecture -- the

Hierarchical Heterogeneous Highly Mobile Network (H3M, for short

flexible and cost-effective platform for rapid deployment in support of

disaster relief search-and-rescue emergency situations-related applications.

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Wireless Interactive Remote Medicine (WIRM ) architecture

Data acquisition module video capturing, 3D scanner and 3D/traditional ultrasound system.

Data acquisition module may have a connection to a PACS system if available.

The acquired data is fed into the corresponding processing modules.

The output of these modules results: Complete Descriptive Model (CDM) of the anatomy of the

visualized organs and their underlying structures. An interactive visualization module provides a real-time,

dynamic interface between the examiner at the patient site and experts at remote sites.

Connection between sites are based on a wireless network architecture.

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WIRM objective: training of response personnel

Goal of the WIRM architecture: provide an obvious and intuitive training tool offer an environment where:

the students and their mentors at distant locations can download information about new patients

perform analyses examine the 3D representation of the actual

biological structure using high fidelity visualization tools

enables real-time navigation in an accurate metric space

perform virtual dissection using virtual instruments and with real biological tissue simulation.

mentors or experts interacting with them in real time

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H3M

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disaster relief operations Mobile base stations as cluster heads Hosts may have a simple digital-based T/R voice

communication Node may have large amount of sophisticated

communication equipment distributed over a geographical area wireless communication system cluster supports both inter- and intra-cluster

communication

dynamic, multiple-node, multiple-media-access – DMNA

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H3M operation

Multiple access within a frame Multiple-type messages Subframe has dynamic boundaries Link utilization during frame activity Knowledge garnered through each

subframe Cooperate in sharing the link capacity Network decisions occur periodically

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H3M operation- contnd

call setup acknowledge and rejection requested by a node in the previous frame;

node attachment as nodes move and reattach;

cluster and network activity as clusters are formed and dissolved; and

bandwidth allocation for this cluster as load balancing is implemented

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H3M operation- contnd

at least one node in each cluster has sufficient transmitter power to be heard by all other clusters; and

nodes in each cluster have enough additional receivers so that each cluster can monitor outside cluster messages and retransmit them where necessary.

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H3M as the Center of Communications provide the interface between wireless

sensor networks deployed in the terrain and various authorities including Police HQ, Fire HQ, the Point of Command and Control

provide the coordination and control functions associated with a mobile task force deployed in support of disaster management

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H3M as the Center of Communications

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H3M as the Center of Communications

Wire

less

Lin

k

Local SchedulePlanning

Fact Acquisition(Sensors, User

Entry)

Local TaskRepository

LocalSchedules

Local FactRepository

Local TaskIdentification

Global TaskIdentification

ExecutionMonitoring

GlobalSchedulePlanning

Global TaskRepository

Global FactRepository

GlobalSchedules

Mobile Task Force Operation Center

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Location awareness GPS-based solutions: problems

do not have the required accuracy to enable pinpointing the exact location of the victims (especially in an urban environment)

GPS does not work well in poor atmospheric conditions (very conditions under which emergency situations are likely to arise)

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Location awareness

Olariu proposed a novel, proactive, light-weight, GPS-free solution best left to the user itself whose hand-held

unit is quite capable of monitoring its location by cleverly exploiting beacons from neighboring MBSs along its trajectory

incorporated into H3M overloading currently-performed signaling

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Conclusions

Wireless Interactive Remote Medicine

Support of disaster management Interactive training Wireless network structure Rapidly deployable, robust, and can

handle multimedia-grade streams