Prioritizing data in emergency response based on context, message content and role

Authors:
Faisal Luqman;Feng-Tso Sun;Heng-Tze Cheng;Senaka Buthpitiya;Martin Griss
Affiliations:
Carnegie Mellon University NASA Ames Research Park;Carnegie Mellon University NASA Ames Research Park;Carnegie Mellon University NASA Ames Research Park;Carnegie Mellon University NASA Ames Research Park;Carnegie Mellon University NASA Ames Research Park
Venue:
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Year:
2011

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Abstract

A vast majority of emergency response scenarios have two distinguishing characteristics: an overflow of data and a lack of resources to handle this increase in data. This surge of data within a resource and bandwidth constrained network may cause congestion collapse, and prevent critical data from reaching decision makers in time. Thus it is crucial to have in place a system that allows for high priority data to reach emergency responders and key personnel with minimal delay, allowing them to effectively respond to critical issues as soon as they occur. In this paper, we present TRIAGE, a framework that prioritizes data based on user context, message content and role.