Abstract: Data query is a basic application field in wireless sensor networks, and the greatest (or least) K value query i. e. Top-K query is one of the most important scenario in query applications. As energy-efficiency is the key problem in wireless sensor networks applications, this paper presented an energy-efficient Top-K Query approach EI}QA in Top-K query. This method prevents data messages forwarding tied to message packets saving based on data aggregation with data filtering. Proposed system employs data stream model to support nearly real-time Top-K query. To save energy consumption the sink node modified filter of every node in good time. To ensure the query correctness the sink probes data from nodes when filter is set up too higher (or too lower). The performance of the proposed ETQA approach was evaluated using real data traces. The result shows that ETQA substantially outperforms the existing NAIVE, FILA and TAG in integral energy consumption.

Key words: Wireless sensor networks, Top-K query, Data aggregation