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.
This work is partially supported by NSERC, Canada Research Chair Program, EAR Research Award, and OIT/Ontario Distinguished Researcher Award. Regina Araujo was a Visiting Scientist at PARADISE Research Laboratory, University of Ottawa, Canada, and CNPq (Brazil).
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Boukerche, A., Araujo, R.B., Silva, F.H.S. (2006). A Context Interpretation Based Wireless Sensor Network for the Emergency Preparedness Class of Applications . In: Nikoletseas, S.E., Rolim, J.D.P. (eds) Algorithmic Aspects of Wireless Sensor Networks. ALGOSENSORS 2006. Lecture Notes in Computer Science, vol 4240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11963271_3
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DOI: https://doi.org/10.1007/11963271_3
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