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2009 35th Annual Conference of IEEE Industrial Electronics
This paper proposes a new method for optimizing innetwork distributed queries that perform join of data produced simultaneously by different sensors in a wireless sensor network. We adopt a modified version of the standard join operator that relates tuples having the same timestamp, and an optimized version of it, which provides on-demand, pull-mode, data acquisition from sensors. The optimizer uses an algebraic approach based on transformation rules and ordering of operators to generate and<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iecon.2009.5415256">doi:10.1109/iecon.2009.5415256</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mkuqmrpj7zee5pvnyaccoqwvri">fatcat:mkuqmrpj7zee5pvnyaccoqwvri</a> </span>
more »... se a query plan that reduces the query execution cost in terms of consumed energy. We implemented these join operations in a query processor for mica-class sensors and we performed extensive tests to prove that our approach may reduce energy required to process a long running query, by order of magnitudes, with respect to non optimized query plans.
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