A context interpretation based wireless sensor network for the emergency preparedness class of applications

Authors:
Azzedine Boukerche;Regina B. Araujo;Fernando H. S. Silva
Affiliations:
PARADISE Research Laboratory, SITE, University of Ottawa, Canada;,PARADISE Research Laboratory, SITE, University of Ottawa, Canada;Computer Science Department, Federal University of São Carlos, Brazil
Venue:
ALGOSENSORS'06 Proceedings of the Second international conference on Algorithmic Aspects of Wireless Sensor Networks
Year:
2006

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Abstract

Emergency Preparedness is one of the most appealing classes of applications for context-aware wireless sensor networks (WSN). In such environments, contexts can be captured and interpreted in the WSN application layer to help preventing, fighting, rescuing and checking against fire, explosions, leaking of toxic gases etc. In this paper, we show a Wireless Actor and Sensor Network (WASN) that can be used to interpret simple and complex contexts. We present an efficient technique that make use of actors to aggregate sensor events, eliminate ambiguities and redundancy and realize context interpretations. Each actor of the WASN is configured with rules that are determined by the application in the network configuration phase. Context information is exchanged among actors and sink(s) of the WASN through the publish/subscribe paradigm based on specific topics. We present a set of simulation of experiments to evaluate the performance of our protocols for wireless sensor networks.