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Towards efficient and reliable context data distribution in disaster area scenarios

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4 Author(s)
Mario Fanelli ; PARADISE Research Laboratory, SITE, University of Ottawa, Canada ; Luca Foschini ; Antonio Corradi ; Azzedine Boukerche

Disaster areas typical to deal with unexpected and sudden disasters, such as earthquakes and terrorist attacks, can take advantage of context-awareness, namely the capability of providing applications with full awareness of current execution context, to increase the possibility of saving human lives. Unfortunately, context-aware services in disaster areas require efficient and reliable context data distribution. Towards this direction, we present our quality-based context data distribution infrastructure, and we introduce two optimizations useful to improve both distribution efficiency and reliability. Experimental results, obtained by means of simulations, support our solutions.

Published in:

Local Computer Networks (LCN), 2010 IEEE 35th Conference on

Date of Conference:

10-14 Oct. 2010