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Optimizing Query Processing in Sensor Networks

Query processing in sensor networks has recently received significant attention from the research community. Processing queries in an energy efficient manner is a crucial challenge. There exists numerous ways to process a query in sensor networks. Choosing an efficient way to process the query is essential for query optimization. In this paper, we consider a query optimizer for sensor networks. By examining query plans, each of which specifies a way to execute the query, our query optimizer estimates the energy the query plan may consume. A query plan that will potentially utilize the least energy is chosen for execution. Simulation results show that the query plan chosen by our query optimizer consumes a significant less amount of energy than our simulation of TinyDB, a state-of-the-art query processing engine for sensor networks.