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This paper proposes a new approach to obtain optimality in distributed query processing in a wireless sensor network environment. The goal of this paper is to design a scheme which supports multiple data acquisition and aggregation queries and minimizes the amount of radio transmissions, average transmission time, and energy consumption. Correlated queries will be automatically rewritten into synthetic queries to minimize communication and computation costs. The query propagation and data retrieval process will also be optimized by applying dynamic route selection algorithms to individual node to decide how, when and to whom it should propagate process and transmit data.
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