Query processing in sensor networks has recently received significant attention from the research community. Processing queries in an energy constrained manner is a crucial challenge as nodes are typically energydeficient. In this paper, we present a query optimizer for sensor networks. Central to the working of our query optimizer is a cost-based analysis to estimate the overall energy consumption associated with a given query plan over the lifetime of a query. By utilizing this estimation technique, our query optimizer compares the desirability of several candidate plans for a given query and chooses a plan that is likely to utilize the least energy for execution. Simulation results show that the query plan chosen by our query optimizer consumes significantly less energy than our simulation of the state-of-the-art query processing engine for sensor networks.
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