Corona: energy-efficient multi-query processing in wireless sensor networks

Authors:
Raymes Khoury;Tim Dawborn;Bulat Gafurov;Glen Pink;Edmund Tse;Quincy Tse;K. Almi’Ani;Mohamed Gaber;Uwe Röhm;Bernhard Scholz
Affiliations:
School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia;School of Information Technologies, The University of Sydney, Sydney, Australia
Venue:
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Year:
2010

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Abstract

Wireless sensor networks (WSNs) are a core infrastructure for automatic environmental monitoring. We developed Corona as an in-network distributed query processor that allows to share a sensor network between several users with a declarative query language. It includes a novel approach for minimising sensor activations in shared wireless sensor networks: we introduce the notion of freshness into WSN so that users can ask for cached sensor reading with freshness guarantees. We further integrated a resource-awareness framework that allows the query processor to dynamically adapt to changing resource levels. The capabilities of this system are demonstrated with several aggregation queries for different users with different freshness and result precision needs.