Aiming at limitation of energy consumption of wireless sensor networks（ WSNs）

data acquisition and routing algorithms with low energy consumption is studied. A WSNs data acquisition and routing algorithm driven by abnormal data is proposed. Firstly

the region growth method is used to divide the data acquisition area into several subregions

and the data similarity is higher in each sub region after division. Then K-means clustering algorithm is used to cluster the sensor nodes

the cluster head is responsible for data collection

fusion and transmission. Finally

a routing algorithm with balanced energy consumption is designed to complete the data transmission. The simulation results show that the proposed data acquisition and routing algorithm can save a lot of energy and prolong the lifetime of the network.