Top-K data query is an important application of wireless sensor networks（ WSNs）

how to save energy consumption is an important topic of Top-K data queries. Aiming at shortcomings that traditional Top-K data query is multi-hop transmission

update price of nodes filtering window is high

propose a Top-K data query algorithm for WSNs based on clustering. By clustering nodes to reduce hops of data transmission

by setting filter values for data filtering to reduce transmission of redundant data

increase the process of exploring to ensure data integrity and reliability

to achieve lower overall communication energy consumption of network node purposes. Simulation results show that compared with traditional algorithm

it can reduce overall energy consumption of network

increase effectiveness of energy.