In order to effectively detect the signal target in the monitoring area of the wireless sensor network

a routine algorithm combining with the compressive sensing（ CS） is proposed in this paper

in which network clustering routing algorithm and CS are integrated. In this paper

the network nodes are clustered by the routine algorithm

and information within the cluster nodes is concentrated in cluster-head. After the optimization of wireless sensor network topology

communication between the cluster head node and the sink node is realized by multi-hop routing. Then subgradient projection method is used to restore source signal from few cluster head data. To improve the signal reconstruction performance of CS

a new adaptive processing mechanism is also proposed in this paper. Simulations demonstrate that the proposed algorithm which has excellent good reconstruction performance can accurately detect the target and the computational complexity is reduced effectively.